Showing 658 publications by David Clifton, Tingting Zhu, Lionel Tarassenko
Weak Monotonicity with Trend Analysis for Unsupervised Feature Evaluation
Clifton D & Lu L (2022), IEEE Transactions on Cybernetics
Supporting People With Type 2 Diabetes in the Effective Use of Their Medicine Through Mobile Health Technology Integrated With Clinical Care to Reduce Cardiovascular Risk: Protocol for an Effectiveness and Cost-effectiveness Randomized Controlled Trial.
Farmer A, Jones L, Newhouse N, Kenning C, Williams N et al. (2022), JMIR research protocols, 11(2), e32918
BibTeX
@article{supportingpeopl-2022/2,
title={Supporting People With Type 2 Diabetes in the Effective Use of Their Medicine Through Mobile Health Technology Integrated With Clinical Care to Reduce Cardiovascular Risk: Protocol for an Effectiveness and Cost-effectiveness Randomized Controlled Trial.},
author={Farmer A, Jones L, Newhouse N, Kenning C, Williams N et al.},
journal={JMIR research protocols},
volume={11},
pages={e32918},
year = "2022"
}
Non-contact physiological monitoring of post-operative patients in the Intensive Care Unit
Jorge J, Villarroel M, Tomlinson H, Gibson O, Darbyshire J et al. (2022), npj Digital Medicine, 5(2022)
BibTeX
@article{noncontactphysi-2022/1,
title={Non-contact physiological monitoring of post-operative patients in the Intensive Care Unit},
author={Jorge J, Villarroel M, Tomlinson H, Gibson O, Darbyshire J et al.},
journal={npj Digital Medicine},
volume={5},
number={4},
publisher={Springer Nature},
year = "2022"
}
Dynamic neural graphs based federated reptile for semi-supervised multi-tasking in healthcare applications
Thakur A, Sharma P & Clifton DA (2021), IEEE Journal of Biomedical and Health Informatics, 1-1
BibTeX
@article{dynamicneuralgr-2021/12,
title={Dynamic neural graphs based federated reptile for semi-supervised multi-tasking in healthcare applications},
author={Thakur A, Sharma P & Clifton DA},
journal={IEEE Journal of Biomedical and Health Informatics},
pages={1-1},
publisher={IEEE},
year = "2021"
}
Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge
Bishop J, Javed H, EL-Bouri R, Zhu T, Taylor T et al. (2021), PLoS One, 16(11)
BibTeX
@article{improvingpatien-2021/11,
title={Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge},
author={Bishop J, Javed H, EL-Bouri R, Zhu T, Taylor T et al.},
journal={PLoS One},
volume={16},
number={e0260476},
publisher={Public Library of Science},
year = "2021"
}
Interactive Effects of HRV and P-QRS-T on the Power Density Spectra of ECG Signals.
Xiang T, Ji N, Clifton DA, Lu L & Zhang Y-T (2021), IEEE journal of biomedical and health informatics, 25(11), 4163-4174
Machine learning approaches to identifying changes in eruptive state using multi-parameter datasets from the 2006 eruption of Augustine Volcano, Alaska
Manley G, Mather T, Pyle D & Clifton D (2021), Journal of Geophysical Research. Solid Earth
BibTeX
@article{machinelearning-2021/11,
title={Machine learning approaches to identifying changes in eruptive state using multi-parameter datasets from the 2006 eruption of Augustine Volcano, Alaska},
author={Manley G, Mather T, Pyle D & Clifton D},
journal={Journal of Geophysical Research. Solid Earth},
publisher={American Geophysical Union},
year = "2021"
}
Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge
Bishop J, Javed H, EL-Bouri R, Zhu T, Taylor T et al. (2021), PLoS One, 16(11)
BibTeX
@article{improvingpatien-2021/11,
title={Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge},
author={Bishop J, Javed H, EL-Bouri R, Zhu T, Taylor T et al.},
journal={PLoS One},
volume={16},
number={e0260476},
publisher={Public Library of Science},
year = "2021"
}
DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time
Tadesse GA, Javed H, Weldemariam K, Liu Y, Liu J et al. (2021), Artificial Intelligence in Medicine, 121
BibTeX
@article{deepmideepmulti-2021/10,
title={DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time},
author={Tadesse GA, Javed H, Weldemariam K, Liu Y, Liu J et al.},
journal={Artificial Intelligence in Medicine},
volume={121},
number={102192},
publisher={Elsevier},
year = "2021"
}
Machine learning to predict the source of campylobacteriosis using whole genome data.
Arning N, Sheppard SK, Bayliss S, Clifton DA & Wilson DJ (2021), PLoS genetics, 17(10), e1009436
Publisher Correction: Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults.
Chun M, Clarke R, Zhu T, Clifton D, Bennett D et al. (2021), Scientific reports, 11(1), 20874
BibTeX
@article{publishercorrec-2021/10,
title={Publisher Correction: Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults.},
author={Chun M, Clarke R, Zhu T, Clifton D, Bennett D et al.},
journal={Scientific reports},
volume={11},
pages={20874},
year = "2021"
}
Experiences of current vital signs monitoring practices and views of wearable monitoring: A qualitative study in patients and nurses
Areia C, King E, Ede J, Young L, Tarassenko L et al. (2021), Journal of Advanced Nursing
BibTeX
@article{experiencesofcu-2021/10,
title={Experiences of current vital signs monitoring practices and views of wearable monitoring: A qualitative study in patients and nurses},
author={Areia C, King E, Ede J, Young L, Tarassenko L et al.},
journal={Journal of Advanced Nursing},
publisher={Wiley},
year = "2021"
}
Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults
Chun M, Clarke R, Zhu T, Clifton J, Bennett D et al. (2021), Scientific Reports, 11(2021)
BibTeX
@article{utilityofsingle-2021/9,
title={Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults},
author={Chun M, Clarke R, Zhu T, Clifton J, Bennett D et al.},
journal={Scientific Reports},
volume={11},
number={17575 },
publisher={Springer Nature},
year = "2021"
}
Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults
Chun M, Clarke R, Zhu T, Clifton J, Bennett D et al. (2021), Scientific Reports, 11(2021)
BibTeX
@article{utilityofsingle-2021/9,
title={Utility of single versus sequential measurements of risk factors for prediction of stroke in Chinese adults},
author={Chun M, Clarke R, Zhu T, Clifton J, Bennett D et al.},
journal={Scientific Reports},
volume={11},
number={17575 },
publisher={Springer Nature},
year = "2021"
}
A chest patch for continuous vital sign monitoring: clinical validation study during movement and controlled hypoxia
Morgado Areia C, Santos M, Vollam S, Pimentel M, Young L et al. (2021), Journal of Medical Internet Research, 23(9)
BibTeX
@article{achestpatchforc-2021/9,
title={A chest patch for continuous vital sign monitoring: clinical validation study during movement and controlled hypoxia},
author={Morgado Areia C, Santos M, Vollam S, Pimentel M, Young L et al.},
journal={Journal of Medical Internet Research},
volume={23},
number={e27547},
publisher={JMIR Publications},
year = "2021"
}
Estimated Prevalence of Hypertension and Undiagnosed Hypertension in a Large Inpatient Population: A Cross-sectional Observational Study.
Mahdi A, Armitage LC, Tarassenko L & Watkinson P (2021), American journal of hypertension, 34(9), 963-972
BibTeX
@article{estimatedpreval-2021/9,
title={Estimated Prevalence of Hypertension and Undiagnosed Hypertension in a Large Inpatient Population: A Cross-sectional Observational Study.},
author={Mahdi A, Armitage LC, Tarassenko L & Watkinson P},
journal={American journal of hypertension},
volume={34},
pages={963-972},
year = "2021"
}
The impact of wearable continuous vital sign monitoring on deterioration detection and clinical outcomes in hospitalised patients: a systematic review and meta-analysis
Areia C, Biggs C, Santos M, Thurley N, Gerry S et al. (2021), Critical Care, 25(1)
BibTeX
@article{theimpactofwear-2021/9,
title={The impact of wearable continuous vital sign monitoring on deterioration detection and clinical outcomes in hospitalised patients: a systematic review and meta-analysis},
author={Areia C, Biggs C, Santos M, Thurley N, Gerry S et al.},
journal={Critical Care},
volume={25},
number={351},
publisher={BioMed Central},
year = "2021"
}
Real-world evaluation of AI-driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions
Soltan A, Yang J, Pattanshetty R, Novak A, Yang Y et al. (2021)
BibTeX
@misc{realworldevalua-2021/8,
title={Real-world evaluation of AI-driven COVID-19 triage for emergency admissions: External validation & operational assessment of lab-free and high-throughput screening solutions},
author={Soltan A, Yang J, Pattanshetty R, Novak A, Yang Y et al.},
year = "2021"
}
Data pre-processing using neural processes for modelling personalised vital-sign time-series data
Sharma P, Shamout F, Abrol V & Clifton D (2021), IEEE Journal of Biomedical and Health Informatics
An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction
Yang Y, Walker TM, Kouchaki S, Wang C, Peto TEA et al. (2021), Briefings in Bioinformatics, 22(6)
BibTeX
@article{anendtoendheter-2021/8,
title={An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction},
author={Yang Y, Walker TM, Kouchaki S, Wang C, Peto TEA et al.},
journal={Briefings in Bioinformatics},
volume={22},
number={bbab299},
publisher={Oxford University Press },
year = "2021"
}
Interactive effects of HRV and P-QRS-T on the power density spectra of ECG signals
Xiang T, Nan J, Clifton D, Lu L & Zhang Y-T (2021), IEEE Journal of Biomedical and Health Informatics, 25(11), 4163-4174
BibTeX
@article{interactiveeffe-2021/8,
title={Interactive effects of HRV and P-QRS-T on the power density spectra of ECG signals},
author={Xiang T, Nan J, Clifton D, Lu L & Zhang Y-T},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={25},
pages={4163-4174},
publisher={IEEE},
year = "2021"
}
Using machine learning to predict anticoagulation control in atrial fibrillation: a UK Clinical Practice Research Datalink study
CLIFTON D (2021), Informatics in Medicine Unlocked
A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.
Kiyasseh D, Zhu T & Clifton D (2021), Nature Communications, 12(1)
BibTeX
@article{aclinicaldeeple-2021/7,
title={A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.},
author={Kiyasseh D, Zhu T & Clifton D},
journal={Nature Communications},
volume={12},
number={4221},
publisher={Springer Nature},
year = "2021"
}
BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates
Fowler P, Wright C, Spiers H, Zhu T, Baeten EML et al. (2021)
BibTeX
@article{bashthebugacrow-2021/7,
title={BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates},
author={Fowler P, Wright C, Spiers H, Zhu T, Baeten EML et al.},
journal={},
year = "2021"
}
CLOCS: contrastive learning of cardiac signals across space, time, and patients
Kiyasseh D, Zhu T & Clifton D (2021), 5606-5615
BibTeX
@article{clocscontrastiv-2021/7,
title={CLOCS: contrastive learning of cardiac signals across space, time, and patients},
author={Kiyasseh D, Zhu T & Clifton D},
journal={},
pages={5606-5615},
publisher={Journal of Machine Learning Research},
year = "2021"
}
CLOCS: contrastive learning of cardiac signals across space, time, and patients
Kiyasseh D, Zhu T & Clifton D (2021), 5606-5615
BibTeX
@article{clocscontrastiv-2021/7,
title={CLOCS: contrastive learning of cardiac signals across space, time, and patients},
author={Kiyasseh D, Zhu T & Clifton D},
journal={},
pages={5606-5615},
publisher={Journal of Machine Learning Research},
year = "2021"
}
Forecasting COVID-19 severity by intelligent optical fingerprinting of blood samples
Faria SP, Carpinteiro C, Pinto V, Rodrigues SM, Alves J et al. (2021), Diagnostics, 11(8)
A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.
Kiyasseh D, Zhu T & Clifton D (2021), Nature Communications, 12(1)
BibTeX
@article{aclinicaldeeple-2021/7,
title={A clinical deep learning framework for continually learning from cardiac signals across diseases, time, modalities, and institutions.},
author={Kiyasseh D, Zhu T & Clifton D},
journal={Nature Communications},
volume={12},
number={4221},
publisher={Springer Nature},
year = "2021"
}
Deep learning classification of cardiomegaly using combined imaging and non-imaging ICU data
Grant D, Papiez B, Parsons G, Tarassenko L & Mahdi A (2021), Medical Image Understanding and Analysis. MIUA 2021, 547-558
BibTeX
@inproceedings{deeplearningcla-2021/7,
title={Deep learning classification of cardiomegaly using combined imaging and non-imaging ICU data},
author={Grant D, Papiez B, Parsons G, Tarassenko L & Mahdi A},
booktitle={25th UK Conference on Medical Image Understanding and Analysis},
pages={547-558},
year = "2021"
}
Prediction of monetary penalties for data protection cases in multiple languages
Ceross A & Zhu T (2021), Proceedings of the 18th International Conference on Artificial Intelligence and Law, ICAIL 2021, 185-189
Global seroprevalence of SARS-CoV-2 antibodies: a systematic review and meta-analysis
Bobrovitz N, Arora RK, Boucher E, Liu M, Donnici C et al. (2021), PLoS One, 16(6)
BibTeX
@article{globalseropreva-2021/6,
title={Global seroprevalence of SARS-CoV-2 antibodies: a systematic review and meta-analysis},
author={Bobrovitz N, Arora RK, Boucher E, Liu M, Donnici C et al.},
journal={PLoS One},
volume={16},
number={e0252617},
publisher={Public Library of Science},
year = "2021"
}
App-Based Versus Standard Six-Minute Walk Test in Pulmonary Hypertension: Mixed Methods Study.
Salvi D, Poffley E, Tarassenko L & Orchard E (2021), JMIR mHealth and uHealth, 9(6), e22748
Development and validation of early warning score systems for COVID-19 patients
Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al. (2021), Healthcare Technology Letters, 8(5), 105-117
BibTeX
@article{developmentandv-2021/5,
title={Development and validation of early warning score systems for COVID-19 patients},
author={Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al.},
journal={Healthcare Technology Letters},
volume={8},
pages={105-117},
publisher={Wiley},
year = "2021"
}
Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults
Chun M, Clarke R, Cairns B, Clifton D, Bennett D et al. (2021), Journal of the American Medical Informatics Association, 28(8), 1719-1727
BibTeX
@article{strokeriskpredi-2021/5,
title={Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults },
author={Chun M, Clarke R, Cairns B, Clifton D, Bennett D et al.},
journal={Journal of the American Medical Informatics Association},
volume={28},
pages={1719-1727},
publisher={Oxford University Press},
year = "2021"
}
Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults
Chun M, Clarke R, Cairns B, Clifton D, Bennett D et al. (2021), Journal of the American Medical Informatics Association, 28(8), 1719-1727
BibTeX
@article{strokeriskpredi-2021/5,
title={Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults },
author={Chun M, Clarke R, Cairns B, Clifton D, Bennett D et al.},
journal={Journal of the American Medical Informatics Association},
volume={28},
pages={1719-1727},
publisher={Oxford University Press},
year = "2021"
}
Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: a feasibility analysis
Whelan M, Biggs C, Morgado Areia C, King E, Lawson B et al. (2021), Digital Health, 7
BibTeX
@article{recruitingpatie-2021/5,
title={Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: a feasibility analysis},
author={Whelan M, Biggs C, Morgado Areia C, King E, Lawson B et al.},
journal={Digital Health},
volume={7},
number={20552076211020876},
publisher={SAGE Publications},
year = "2021"
}
Development and validation of early warning score systems for COVID-19 patients
Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al. (2021), Healthcare Technology Letters, 8(5), 105-117
BibTeX
@article{developmentandv-2021/5,
title={Development and validation of early warning score systems for COVID-19 patients},
author={Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al.},
journal={Healthcare Technology Letters},
volume={8},
pages={105-117},
publisher={Wiley},
year = "2021"
}
Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: a feasibility analysis
Whelan M, Biggs C, Morgado Areia C, King E, Lawson B et al. (2021), Digital Health, 7
BibTeX
@article{recruitingpatie-2021/5,
title={Recruiting patients to a digital self-management study whilst in hospital for a chronic obstructive pulmonary disease exacerbation: a feasibility analysis},
author={Whelan M, Biggs C, Morgado Areia C, King E, Lawson B et al.},
journal={Digital Health},
volume={7},
number={20552076211020876},
publisher={SAGE Publications},
year = "2021"
}
Protocol for a systematic review assessing ambulatory vital sign monitoring impact on deterioration detection and related clinical outcomes in hospitalised patients
Areia C, Vollam S, Young L, Biggs C, Pimentel M et al. (2021), BMJ Open, 11(5)
BibTeX
@article{protocolforasys-2021/5,
title={Protocol for a systematic review assessing ambulatory vital sign monitoring impact on deterioration detection and related clinical outcomes in hospitalised patients},
author={Areia C, Vollam S, Young L, Biggs C, Pimentel M et al.},
journal={BMJ Open},
volume={11},
number={e047715},
publisher={BMJ Open},
year = "2021"
}
Guest Editorial Camera-Based Monitoring for Pervasive Healthcare Informatics
Wang W, Leonhardt S, Tarassenko L, Shan C & McDuff D (2021), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 25(5), 1358-1360
Corrigendum to "Trajectories of vital signs in patients with COVID-19" [Resuscitation 156 (2020) 99-106].
Pimentel MAF, Redfern OC, Hatch R, Young JD, Tarassenko L et al. (2021), Resuscitation, 162, 91-92
Correction: System Architecture for "Support Through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and Performance in Pilot and Randomized Controlled Feasibility Studies.
Chi Y, Velardo C, Allen J, Robinson S, Riga E et al. (2021), JMIR formative research, 5(4), e29451
BibTeX
@article{correctionsyste-2021/4,
title={Correction: System Architecture for "Support Through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and Performance in Pilot and Randomized Controlled Feasibility Studies.},
author={Chi Y, Velardo C, Allen J, Robinson S, Riga E et al.},
journal={JMIR formative research},
volume={5},
pages={e29451},
publisher={JMIR Publications Inc.},
year = "2021"
}
OxCOVID19 Database, a multimodal data repository for better understanding the global impact of COVID-19.
Mahdi A, Błaszczyk P, Dłotko P, Salvi D, Chan T-S et al. (2021), Scientific reports, 11(1), 9237
Vital sign monitoring using wearable devices in a Vietnamese intensive care unit
Van H, Hao N, Phan Nguyen Quoc K, Hai H, Khoa L et al. (2021), BMJ Innovations, 7(Supplement 1), S7-S11
Wearable remote monitoring for patients with COVID-19 in low-resource settings: case study
Chau N, Hai H, Greeff H, Phan Nguyen Quoc K, Trieu H et al. (2021), BMJ Innovations, 7(2021), S12-S15
BibTeX
@article{wearableremotem-2021/3,
title={Wearable remote monitoring for patients with COVID-19 in low-resource settings: case study},
author={Chau N, Hai H, Greeff H, Phan Nguyen Quoc K, Trieu H et al.},
journal={BMJ Innovations},
volume={7},
pages={S12-S15},
publisher={BMJ Publishing Group},
year = "2021"
}
Toward a multivariate prediction model of pharmacological treatment for women with gestational diabetes mellitus: Algorithm development and validation
Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al. (2021), Journal of Medical Internet Research, 23(3)
BibTeX
@article{towardamultivar-2021/3,
title={Toward a multivariate prediction model of pharmacological treatment for women with gestational diabetes mellitus: Algorithm development and validation},
author={Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al.},
journal={Journal of Medical Internet Research},
volume={23},
number={e21435},
publisher={JMIR Publications},
year = "2021"
}
Vital sign monitoring using wearable devices in a Vietnamese intensive care unit
Van H, Hao N, Phan Nguyen Quoc K, Hai H, Khoa L et al. (2021), BMJ Innovations, 7(Supplement 1), S7-S11
System architecture for "Support through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and performance in pilot and randomized controlled feasibility studies
Chi Y, Velardo C, Allen J, Robinson S, Riga E et al. (2021), JMIR Formative Research, 5(3)
BibTeX
@article{systemarchitect-2021/3,
title={System architecture for "Support through Mobile Messaging and Digital Health Technology for Diabetes" (SuMMiT-D): Design and performance in pilot and randomized controlled feasibility studies},
author={Chi Y, Velardo C, Allen J, Robinson S, Riga E et al.},
journal={JMIR Formative Research},
volume={5},
number={e18460},
publisher={JMIR Publications},
year = "2021"
}
Toward a multivariate prediction model of pharmacological treatment for women with gestational diabetes mellitus: Algorithm development and validation
Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al. (2021), Journal of Medical Internet Research, 23(3)
BibTeX
@article{towardamultivar-2021/3,
title={Toward a multivariate prediction model of pharmacological treatment for women with gestational diabetes mellitus: Algorithm development and validation},
author={Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L et al.},
journal={Journal of Medical Internet Research},
volume={23},
number={e21435},
publisher={JMIR Publications},
year = "2021"
}
Discriminant knowledge extraction from electrocardiograms for automated diagnosis of myocardial infarction
Tadesse GA, Weldemariam K, Javed H, Liu Y, Liu J et al. (2021), Proceedings of PKAW 2021: Knowledge Management and Acquisition for Intelligent Systems, 12280, 70-82
BibTeX
@inproceedings{discriminantkno-2021/2,
title={Discriminant knowledge extraction from electrocardiograms for automated diagnosis of myocardial infarction},
author={Tadesse GA, Weldemariam K, Javed H, Liu Y, Liu J et al.},
booktitle={Principle and Practice of Data and Knowledge Acquisition Workshop},
pages={70-82},
year = "2021"
}
Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis
Zhu T, Javed H & Clifton D (2021), Healthcare Technology Letters, 8(2), 25-30
BibTeX
@article{comparisonofpar-2021/2,
title={Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis},
author={Zhu T, Javed H & Clifton D},
journal={Healthcare Technology Letters},
volume={8},
pages={25-30},
publisher={Wiley},
year = "2021"
}
Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis
Zhu T, Javed H & Clifton D (2021), Healthcare Technology Letters, 8(2), 25-30
BibTeX
@article{comparisonofpar-2021/2,
title={Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis},
author={Zhu T, Javed H & Clifton D},
journal={Healthcare Technology Letters},
volume={8},
pages={25-30},
publisher={Wiley},
year = "2021"
}
Detecting deteriorating patients in hospital: development and validation of a novel scoring system
Pimentel MAF, Redfern O, Malycha J, Meredith P, Prytherch D et al. (2021), American Journal of Respiratory and Critical Care Medicine, 204(1), 44-52
BibTeX
@article{detectingdeteri-2021/2,
title={Detecting deteriorating patients in hospital: development and validation of a novel scoring system},
author={Pimentel MAF, Redfern O, Malycha J, Meredith P, Prytherch D et al.},
journal={American Journal of Respiratory and Critical Care Medicine},
volume={204},
pages={44-52},
publisher={American Thoracic Society},
year = "2021"
}
SDNN24 estimation from semi-continuous HR measures
Morelli D, Rossi A, Bartoloni L & Cairo M (2021), Sensors, 21(4)
Recommendation to use wearable-based mHealth in closed-loop management of acute cardiovascular disease patients during the COVID-19 pandemic
Ji N, Xiang T, Bonato P, Lovell NH, Ooi S-Y et al. (2021), IEEE Journal of Biomedical and Health Informatics, 25(4), 903-908
BibTeX
@article{recommendationt-2021/2,
title={Recommendation to use wearable-based mHealth in closed-loop management of acute cardiovascular disease patients during the COVID-19 pandemic},
author={Ji N, Xiang T, Bonato P, Lovell NH, Ooi S-Y et al.},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={25},
pages={903-908},
publisher={Institute of Electrical and Electronics Engineers},
year = "2021"
}
DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence
Clifton DA, Collins G, Morgan L, Watkinson P & McCulloch P (2021), Nature Medicine, 27(2), 186-187
BibTeX
@article{decideainewrepo-2021/2,
title={DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence},
author={Clifton DA, Collins G, Morgan L, Watkinson P & McCulloch P},
journal={Nature Medicine},
volume={27},
pages={186-187},
publisher={Nature},
year = "2021"
}
Detecting deteriorating patients in hospital: development and validation of a novel scoring system
Pimentel MAF, Redfern O, Malycha J, Meredith P, Prytherch D et al. (2021), American Journal of Respiratory and Critical Care Medicine, 204(1), 44-52
BibTeX
@article{detectingdeteri-2021/2,
title={Detecting deteriorating patients in hospital: development and validation of a novel scoring system},
author={Pimentel MAF, Redfern O, Malycha J, Meredith P, Prytherch D et al.},
journal={American Journal of Respiratory and Critical Care Medicine},
volume={204},
pages={44-52},
publisher={American Thoracic Society},
year = "2021"
}
Early risk assessment for COVID-19 patients from emergency department data using machine learning.
Heldt FS, Vizcaychipi MP, Peacock S, Cinelli M, McLachlan L et al. (2021), Scientific reports, 11(1), 4200
Machine learning in patient flow: a review
El-Bouri R, Taylor T, Youssef A, Zhu T & Clifton D (2021), Progress in Biomedical Engineering, 3(2 )
Coronary Artery Disease: Optimal Lipoprotein(a) for Survival-Lower Is Better? A Large Cohort With 43,647 Patients.
Liu J, Liu L, Wang B, Chen S, Liu B et al. (2021), Frontiers in cardiovascular medicine, 8, 670859
BibTeX
@article{coronaryarteryd-2021/1,
title={Coronary Artery Disease: Optimal Lipoprotein(a) for Survival-Lower Is Better? A Large Cohort With 43,647 Patients.},
author={Liu J, Liu L, Wang B, Chen S, Liu B et al.},
journal={Frontiers in cardiovascular medicine},
volume={8},
pages={670859},
year = "2021"
}
Machine learning in patient flow: a review
El-Bouri R, Taylor T, Youssef A, Zhu T & Clifton D (2021), Progress in Biomedical Engineering, 3(2 )
Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study
Gordon J, Norman M, Hurst M, Mason T, Dickerson C et al. (2021), Informatics in Medicine Unlocked, 25
BibTeX
@article{usingmachinelea-2021/1,
title={Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study},
author={Gordon J, Norman M, Hurst M, Mason T, Dickerson C et al.},
journal={Informatics in Medicine Unlocked},
volume={25},
year = "2021"
}
Let your heart speak in its mother tongue: Multilingual captioning of cardiac signals
Kiyasseh D, Zhu T & Clifton D (2021), arXiv
BibTeX
@article{letyourheartspe-2021/,
title={Let your heart speak in its mother tongue: Multilingual captioning of cardiac signals},
author={Kiyasseh D, Zhu T & Clifton D},
journal={arXiv},
year = "2021"
}
Towards scheduling federated deep learning using meta-gradients for inter-hospital learning
el-Bouri R, Zhu T & Clifton DA (2021), arXiv
BibTeX
@article{towardsscheduli-2021/,
title={Towards scheduling federated deep learning using meta-gradients for inter-hospital learning},
author={el-Bouri R, Zhu T & Clifton DA},
journal={arXiv},
year = "2021"
}
Machine Learning for Clinical Outcome Prediction
Shamout F, Zhu T & Clifton DA (2021), IEEE Reviews in Biomedical Engineering, 14, 116-126
BibTeX
@article{machinelearning-2021/,
title={Machine Learning for Clinical Outcome Prediction},
author={Shamout F, Zhu T & Clifton DA},
journal={IEEE Reviews in Biomedical Engineering},
volume={14},
pages={116-126},
year = "2021"
}
Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test
Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al. (2020), Lancet Digital Health, 3(2), e78-e87
BibTeX
@article{rapidtriageforc-2020/12,
title={Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test},
author={Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al.},
journal={Lancet Digital Health},
volume={3},
pages={e78-e87},
publisher={Elsevier},
year = "2020"
}
Error estimation of ultra-short heart rate variability parameters: effect of missing data caused by motion artifacts
rossi A, pedreschi D, Clifton D & morelli D (2020), Sensors, 20(24)
BibTeX
@article{errorestimation-2020/12,
title={Error estimation of ultra-short heart rate variability parameters: effect of missing data caused by motion artifacts},
author={rossi A, pedreschi D, Clifton D & morelli D},
journal={Sensors},
volume={20},
number={7122},
publisher={MDPI},
year = "2020"
}
Smartwatch data help detect COVID-19
Zhu T, Watkinson P & Clifton DA (2020), Nature Biomedical Engineering, 4(12), 1125-1127
Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test
Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al. (2020), Lancet Digital Health, 3(2), e78-e87
BibTeX
@article{rapidtriageforc-2020/12,
title={Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test},
author={Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al.},
journal={Lancet Digital Health},
volume={3},
pages={e78-e87},
publisher={Elsevier},
year = "2020"
}
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults
Rossi A, Da Pozzo E, Menicagli D, Tremolanti C, Priami C et al. (2020), DATA, 5(4)
Optimizing a digital intervention for managing blood pressure in stroke patients using a diverse sample: Integrating the person-based approach and patient and public involvement
Rai T, Morton K, Roman C, Doogue R, Rice C et al. (2020), Health Expectations, 24(2), 327-340
BibTeX
@article{optimizingadigi-2020/12,
title={Optimizing a digital intervention for managing blood pressure in stroke patients using a diverse sample: Integrating the person-based approach and patient and public involvement},
author={Rai T, Morton K, Roman C, Doogue R, Rice C et al.},
journal={Health Expectations},
volume={24},
pages={327-340},
publisher={Wiley},
year = "2020"
}
Wearability Testing of Ambulatory Vital Sign Monitoring Devices: Prospective Observational Cohort Study.
Areia C, Young L, Vollam S, Ede J, Santos M et al. (2020), JMIR mHealth and uHealth, 8(12), e20214
BibTeX
@article{wearabilitytest-2020/12,
title={Wearability Testing of Ambulatory Vital Sign Monitoring Devices: Prospective Observational Cohort Study.},
author={Areia C, Young L, Vollam S, Ede J, Santos M et al.},
journal={JMIR mHealth and uHealth},
volume={8},
pages={e20214},
publisher={JMIR Publications Inc.},
year = "2020"
}
Student-teacher curriculum learning via reinforcement learning: predicting hospital inpatient admission location
El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D (2020), Proceedings of the 37th International Conference on Machine Learning, 2848-2857
BibTeX
@inproceedings{studentteacherc-2020/11,
title={Student-teacher curriculum learning via reinforcement learning: predicting hospital inpatient admission location},
author={El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D},
booktitle={37th International Conference on Machine Learning, (ICML 2020)},
pages={2848-2857},
year = "2020"
}
Development and Validation of Early Warning Score Systems for COVID-19 Patients
Youssef A, Kouchaki S, Shamout F, Armstrong J, El-Bouri R et al. (2020)
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring
Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R et al. (2020), Biomedical Signal Processing and Control, 65
BibTeX
@article{animpedancepneu-2020/11,
title={An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring},
author={Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R et al.},
journal={Biomedical Signal Processing and Control},
volume={65},
number={102339},
publisher={Elsevier},
year = "2020"
}
Student-teacher curriculum learning via reinforcement learning: predicting hospital inpatient admission location
El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D (2020), Proceedings of the 37th International Conference on Machine Learning, 2848-2857
BibTeX
@inproceedings{studentteacherc-2020/11,
title={Student-teacher curriculum learning via reinforcement learning: predicting hospital inpatient admission location},
author={El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D},
booktitle={37th International Conference on Machine Learning, (ICML 2020)},
pages={2848-2857},
year = "2020"
}
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring
Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R et al. (2020), Biomedical Signal Processing and Control, 65
BibTeX
@article{animpedancepneu-2020/11,
title={An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring},
author={Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R et al.},
journal={Biomedical Signal Processing and Control},
volume={65},
number={102339},
publisher={Elsevier},
year = "2020"
}
Technology-supported home monitoring in heart failure patients
Rahimi K, Nazarzadeh M, Pinho-Gomes AC, Woodward M, Salimi-Khorshidi GH et al. (2020), EUROPEAN HEART JOURNAL, 41, 1034-1034
BibTeX
@inproceedings{technologysuppo-2020/11,
title={Technology-supported home monitoring in heart failure patients},
author={Rahimi K, Nazarzadeh M, Pinho-Gomes AC, Woodward M, Salimi-Khorshidi GH et al.},
pages={1034-1034},
year = "2020"
}
Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial
Hill NR, Arden C, Beresford-Hulme L, Camm AJ, Clifton D et al. (2020), Contemporary Clinical Trials, 99
BibTeX
@article{identificationo-2020/10,
title={Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial},
author={Hill NR, Arden C, Beresford-Hulme L, Camm AJ, Clifton D et al.},
journal={Contemporary Clinical Trials},
volume={99},
number={106191},
publisher={Elsevier},
year = "2020"
}
Non-contact vital-sign monitoring of patients undergoing haemodialysis treatment
Villarroel M, Jorge J, Meredith D, Sutherland S, Pugh C et al. (2020), Scientific Reports, 10
BibTeX
@article{noncontactvital-2020/10,
title={Non-contact vital-sign monitoring of patients undergoing haemodialysis treatment},
author={Villarroel M, Jorge J, Meredith D, Sutherland S, Pugh C et al.},
journal={Scientific Reports},
volume={10},
number={18529},
publisher={Springer Nature},
year = "2020"
}
Cancelable HD-sEMG-based biometrics for cross-application discrepant personal identification
Jiang X, Xu K, Liu X, Dai C, Clifton D et al. (2020), IEEE Journal of Biomedical and Health Informatics
A spectral-longitudinal model for detection of heart attack from 12-lead electrocardiogram waveforms
Tadesse G, Javed H, Weldemariam K & Zhu T (2020)
BibTeX
@inproceedings{aspectrallongit-2020/8,
title={A spectral-longitudinal model for detection of heart attack from 12-lead electrocardiogram waveforms},
author={Tadesse G, Javed H, Weldemariam K & Zhu T},
booktitle={42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020)},
year = "2020"
}
The promise of clinical decision support systems targetting low-resource settings
Kiyasseh D, Zhu T & Clifton D (2020), IEEE Reviews in Biomedical Engineering, 15, 354-371
BibTeX
@article{thepromiseofcli-2020/8,
title={The promise of clinical decision support systems targetting low-resource settings},
author={Kiyasseh D, Zhu T & Clifton D},
journal={IEEE Reviews in Biomedical Engineering},
volume={15},
pages={354-371},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
The promise of clinical decision support systems targetting low-resource settings
Kiyasseh D, Zhu T & Clifton D (2020), IEEE Reviews in Biomedical Engineering, 15, 354-371
BibTeX
@article{thepromiseofcli-2020/8,
title={The promise of clinical decision support systems targetting low-resource settings},
author={Kiyasseh D, Zhu T & Clifton D},
journal={IEEE Reviews in Biomedical Engineering},
volume={15},
pages={354-371},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
Non-contact vital sign monitoring of patients in an intensive care unit: A human factors analysis of staff expectations
Ede J, Vollam S, Darbyshire J, Gibson O, Tarrassenko L et al. (2020), Applied Ergonomics, 90
BibTeX
@article{noncontactvital-2020/8,
title={Non-contact vital sign monitoring of patients in an intensive care unit: A human factors analysis of staff expectations},
author={Ede J, Vollam S, Darbyshire J, Gibson O, Tarrassenko L et al.},
journal={Applied Ergonomics},
volume={90},
number={103149},
publisher={Elsevier},
year = "2020"
}
Machine learning for clinical outcome prediction
Shamout F, Zhu T & Clifton DA (2020), IEEE Reviews in Biomedical Engineering, 14, 116-126
Artificial intelligence driven assessment of routinely collected healthcare data is an effective screening test for COVID-19 in patients presenting to hospital
Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al. (2020)
BibTeX
@article{artificialintel-2020/7,
title={Artificial intelligence driven assessment of routinely collected healthcare data is an effective screening test for COVID-19 in patients presenting to hospital},
author={Soltan AAS, Kouchaki S, Zhu T, Kiyasseh D, Taylor T et al.},
journal={},
year = "2020"
}
Guest Editorial: Integrative Sensor Networks, Informatics, and Modeling for Precision and Preventative Medicine
Chen W, Clifton D & Telfer B (2020), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 24(7), 1858-1859
BibTeX
@article{guesteditoriali-2020/7,
title={Guest Editorial: Integrative Sensor Networks, Informatics, and Modeling for Precision and Preventative Medicine},
author={Chen W, Clifton D & Telfer B},
journal={IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS},
volume={24},
pages={1858-1859},
year = "2020"
}
Neuromuscular password-based user authentication
Jiang X, Xu K, Liu X, Dai C, Clifton D et al. (2020), IEEE Transactions on Industrial Informatics, 17(4), 2641-2652
BibTeX
@article{neuromuscularpa-2020/6,
title={Neuromuscular password-based user authentication},
author={Jiang X, Xu K, Liu X, Dai C, Clifton D et al.},
journal={IEEE Transactions on Industrial Informatics},
volume={17},
pages={2641-2652},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
Shallow aquifer monitoring using handpump vibration data
Manandhar A, Greeff H, Thomson P, Hope R & Clifton DA (2020), Journal of Hydrology X
Study protocol for an exploratory interventional study investigating the feasibility of video-based non-contact physiological monitoring in healthy volunteers by Mapping Of Lower Limb skIn pErfusion (MOLLIE)
Harford M, Areia C, Villarroel Montoya M, Jorge J, Finnegan E et al. (2020), BMJ Open, 10(6)
BibTeX
@article{studyprotocolfo-2020/6,
title={Study protocol for an exploratory interventional study investigating the feasibility of video-based non-contact physiological monitoring in healthy volunteers by Mapping Of Lower Limb skIn pErfusion (MOLLIE)},
author={Harford M, Areia C, Villarroel Montoya M, Jorge J, Finnegan E et al.},
journal={BMJ Open},
volume={10},
number={e036235},
publisher={BMJ Publishing Group},
year = "2020"
}
Non-contact assessment of peripheral artery haemodynamics using video infrared thermography
Jorge J, Harford M, Villarroel M, Chaichulee S, Davidson S et al. (2020), IEEE Transactions on Biomedical Engineering, 68(1), 276-288
BibTeX
@article{noncontactasses-2020/6,
title={Non-contact assessment of peripheral artery haemodynamics using video infrared thermography},
author={Jorge J, Harford M, Villarroel M, Chaichulee S, Davidson S et al.},
journal={IEEE Transactions on Biomedical Engineering},
volume={68},
pages={276-288},
publisher={IEEE},
year = "2020"
}
Hospital admission location prediction via deep interpretable networks for the year-round improvement of emergency patient care
el-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D (2020), IEEE Journal of Biomedical and Health Informatics, 25(1), 289-300
BibTeX
@article{hospitaladmissi-2020/5,
title={Hospital admission location prediction via deep interpretable networks for the year-round improvement of emergency patient care},
author={el-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={25},
pages={289-300},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
Cross-sectional centiles of blood pressure by age and sex: a four-hospital database retrospective observational analysis
Wong D, Gerry S, Shamout F, Clifton DA, Pimentel MAF et al. (2020), BMJ Open, 10(5)
BibTeX
@article{crosssectionalc-2020/5,
title={Cross-sectional centiles of blood pressure by age and sex: a four-hospital database retrospective observational analysis },
author={Wong D, Gerry S, Shamout F, Clifton DA, Pimentel MAF et al.},
journal={BMJ Open},
volume={10},
number={e033618},
publisher={BMJ Publishing Group},
year = "2020"
}
Hospital admission location prediction via deep interpretable networks for the year-round improvement of emergency patient care
el-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D (2020), IEEE Journal of Biomedical and Health Informatics, 25(1), 289-300
BibTeX
@article{hospitaladmissi-2020/5,
title={Hospital admission location prediction via deep interpretable networks for the year-round improvement of emergency patient care},
author={el-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={25},
pages={289-300},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
Understanding the timing of eruption end using a machine learning approach to classification of seismic time series
Manley G, Pyle D, Mather T, Rodgers M, Clifton D et al. (2020), Journal of Volcanology and Geothermal Research, 401
BibTeX
@article{understandingth-2020/5,
title={Understanding the timing of eruption end using a machine learning approach to classification of seismic time series},
author={Manley G, Pyle D, Mather T, Rodgers M, Clifton D et al.},
journal={Journal of Volcanology and Geothermal Research},
volume={401},
number={106917},
publisher={Elsevier},
year = "2020"
}
Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic
Ding X-R, Clifton D, Ji N, Lovell NH, Bonato P et al. (2020), IEEE Reviews in Biomedical Engineering, 14(2021), 48-70
BibTeX
@article{wearablesensing-2020/5,
title={Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic},
author={Ding X-R, Clifton D, Ji N, Lovell NH, Bonato P et al.},
journal={IEEE Reviews in Biomedical Engineering},
volume={14},
pages={48-70},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
Risk factors for clinical progression in patients with COVID-19: a retrospective study of electronic health record data in the United Kingdom
Fletcher R, Matcham T, Tibúrcio M, Anisimovich A, Jovanović S et al. (2020)
Monitoring activity of hip injury patients (MoHIP): A sub-study of the World Hip Trauma Evaluation observational cohort study
Armitage LC, Chi Y, Santos M, Lawson BK, Areia C et al. (2020), Pilot and Feasibility Studies, 6
BibTeX
@article{monitoringactiv-2020/5,
title={Monitoring activity of hip injury patients (MoHIP): A sub-study of the World Hip Trauma Evaluation observational cohort study},
author={Armitage LC, Chi Y, Santos M, Lawson BK, Areia C et al.},
journal={Pilot and Feasibility Studies},
volume={6},
number={70},
publisher={BioMed Central},
year = "2020"
}
PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings
Kiyasseh D, Tadesse G, Nhan LNT, Tan LV, Thwaites C et al. (2020), IEEE Journal of Biomedical and Health Informatics, 24(11)
BibTeX
@article{plethaugmentgan-2020/4,
title={PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings},
author={Kiyasseh D, Tadesse G, Nhan LNT, Tan LV, Thwaites C et al.},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={24},
number={3226-3235},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings
Kiyasseh D, Tadesse G, Nhan LNT, Tan LV, Thwaites C et al. (2020), IEEE Journal of Biomedical and Health Informatics, 24(11)
BibTeX
@article{plethaugmentgan-2020/4,
title={PlethAugment: GAN-based PPG augmentation for medical diagnosis in low-resource settings},
author={Kiyasseh D, Tadesse G, Nhan LNT, Tan LV, Thwaites C et al.},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={24},
number={3226-3235},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
Multi-label random forest model for tuberculosis drug resistance classification and mutation ranking
Kouchaki S, Yang Y, Lapachelle A, Walker T, Walker AS et al. (2020), Frontiers in Microbiology, 11
BibTeX
@article{multilabelrando-2020/4,
title={Multi-label random forest model for tuberculosis drug resistance classification and mutation ranking},
author={Kouchaki S, Yang Y, Lapachelle A, Walker T, Walker AS et al.},
journal={Frontiers in Microbiology},
volume={11},
number={667},
publisher={Frontiers Media},
year = "2020"
}
GenomegaMap: Within-species genome-wide dN/dS estimation from over 10,000 genomes
Wilson DJ, Crook DW, Peto TEA, Walker AS, Hoosdally S et al. (2020), Molecular Biology and Evolution, 37(8), 2450-2460
BibTeX
@article{genomegamapwith-2020/3,
title={GenomegaMap: Within-species genome-wide dN/dS estimation from over 10,000 genomes},
author={Wilson DJ, Crook DW, Peto TEA, Walker AS, Hoosdally S et al.},
journal={Molecular Biology and Evolution},
volume={37},
pages={2450-2460},
publisher={Oxford University Press},
year = "2020"
}
Severity detection tool for patients with infectious disease
Tadesse G, Zhu T, Le Nguyen Thanh N, Thanh Hung N, Duong HTH et al. (2020), Healthcare Technology Letters, 7(2)
BibTeX
@article{severitydetecti-2020/2,
title={Severity detection tool for patients with infectious disease},
author={Tadesse G, Zhu T, Le Nguyen Thanh N, Thanh Hung N, Duong HTH et al.},
journal={Healthcare Technology Letters},
volume={7},
number={45},
publisher={Institution of Engineering and Technology},
year = "2020"
}
Severity detection tool for patients with infectious disease
Tadesse G, Zhu T, Le Nguyen Thanh N, Thanh Hung N, Duong HTH et al. (2020), Healthcare Technology Letters, 7(2)
BibTeX
@article{severitydetecti-2020/2,
title={Severity detection tool for patients with infectious disease},
author={Tadesse G, Zhu T, Le Nguyen Thanh N, Thanh Hung N, Duong HTH et al.},
journal={Healthcare Technology Letters},
volume={7},
number={45},
publisher={Institution of Engineering and Technology},
year = "2020"
}
Machine learning to evaluate impacts of flood protection in Bangladesh, 1983–2014
Fischer A, Bradley DJ, Salehin M, Islam MS, Hope R et al. (2020), Water, 12(2)
Self-reported and objectively-measured physical activity in people with and without chronic heart failure: a UK Biobank analysis
O’Donnell J, Smith-Byrne KA, Velardo C, Conrad N, Salimi-Khorshidi G et al. (2020), Open Heart, 7(1)
BibTeX
@article{selfreportedand-2020/2,
title={Self-reported and objectively-measured physical activity in people with and without chronic heart failure: a UK Biobank analysis},
author={O’Donnell J, Smith-Byrne KA, Velardo C, Conrad N, Salimi-Khorshidi G et al.},
journal={Open Heart},
volume={7},
number={e001099},
publisher={BMJ Publishing Group},
year = "2020"
}
Multi-modal diagnosis of infectious diseases in the developing world
Tadesse G, Javed H, Le Nguyen Thanh N, Duong Ha Thi H, Le Van T et al. (2020), IEEE Journal of Biomedical and Health Informatics, 24(7), 2131-2141
BibTeX
@article{multimodaldiagn-2020/1,
title={Multi-modal diagnosis of infectious diseases in the developing world},
author={Tadesse G, Javed H, Le Nguyen Thanh N, Duong Ha Thi H, Le Van T et al.},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={24},
pages={2131-2141},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
Student-teacher curriculum learning via reinforcement learning: Predicting hospital inpatient admission location
El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D (2020), 37th International Conference on Machine Learning, ICML 2020, PartF168147-4, 2828-2837
BibTeX
@article{studentteacherc-2020/1,
title={Student-teacher curriculum learning via reinforcement learning: Predicting hospital inpatient admission location},
author={El-Bouri R, Eyre D, Watkinson P, Zhu T & Clifton D},
journal={37th International Conference on Machine Learning, ICML 2020},
volume={PartF168147-4},
pages={2828-2837},
year = "2020"
}
Multi-modal diagnosis of infectious diseases in the developing world
Tadesse G, Javed H, Le Nguyen Thanh N, Duong Ha Thi H, Le Van T et al. (2020), IEEE Journal of Biomedical and Health Informatics, 24(7), 2131-2141
BibTeX
@article{multimodaldiagn-2020/1,
title={Multi-modal diagnosis of infectious diseases in the developing world},
author={Tadesse G, Javed H, Le Nguyen Thanh N, Duong Ha Thi H, Le Van T et al.},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={24},
pages={2131-2141},
publisher={Institute of Electrical and Electronics Engineers},
year = "2020"
}
The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation.
Salvi D, Poffley E, Orchard E & Tarassenko L (2020), JMIR mHealth and uHealth, 8(1), e13756-e13756
Blood pressure monitoring in high-risk pregnancy to improve the detection and monitoring of hypertension (the BUMP 1 and 2 trials): protocol for two linked randomised controlled trials.
Dougall G, Franssen M, Tucker K, Yu L-M, Hinton L et al. (2020), BMJ Open, 10(1)
BibTeX
@article{bloodpressuremo-2020/1,
title={Blood pressure monitoring in high-risk pregnancy to improve the detection and monitoring of hypertension (the BUMP 1 and 2 trials): protocol for two linked randomised controlled trials.},
author={Dougall G, Franssen M, Tucker K, Yu L-M, Hinton L et al.},
journal={BMJ Open},
volume={10},
number={e034593},
publisher={BMJ},
year = "2020"
}
Algorithmic comparison of patient-reported blood glucose diary records with meters’ memory in gestational diabetes
Salvi D, Velardo C, Mackillop L & Tarassenko L (2020), Informatics in Medicine Unlocked, 20
Smartwatch data help detect COVID-19
Zhu T, Watkinson P & Clifton DA (2020), Nature Biomedical Engineering, 4, 1125-1127
BibTeX
@article{smartwatchdatah-2020/,
title={Smartwatch data help detect COVID-19},
author={Zhu T, Watkinson P & Clifton DA},
journal={Nature Biomedical Engineering},
volume={4},
number={12},
pages={1125-1127},
year = "2020"
}
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes
Zhu T (2020)
BibTeX
@misc{dropsdeepretrie-2020/,
title={DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes},
author={Zhu T},
year = "2020"
}
PCPs: Patient Cardiac Prototypes
Zhu T (2020)
BibTeX
@misc{pcpspatientcard-2020/,
title={PCPs: Patient Cardiac Prototypes},
author={Zhu T},
year = "2020"
}
Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease
Zhu T (2020)
BibTeX
@misc{phenotypingclus-2020/,
title={Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease},
author={Zhu T},
year = "2020"
}
CLOCS: Contrastive Learning of Cardiac Signals
Zhu T (2020)
BibTeX
@misc{clocscontrastiv-2020/,
title={CLOCS: Contrastive Learning of Cardiac Signals},
author={Zhu T},
year = "2020"
}
SoQal: Selective Oracle Questioning in Active Learning
Zhu T (2020)
BibTeX
@misc{soqalselectiveo-2020/,
title={SoQal: Selective Oracle Questioning in Active Learning},
author={Zhu T},
year = "2020"
}
ALPS: Active Learning via Perturbations
Zhu T (2020)
BibTeX
@misc{alpsactivelearn-2020/,
title={ALPS: Active Learning via Perturbations},
author={Zhu T},
year = "2020"
}
CLOPS: Continual Learning of Physiological Signals
Zhu T (2020)
BibTeX
@misc{clopscontinuall-2020/,
title={CLOPS: Continual Learning of Physiological Signals},
author={Zhu T},
year = "2020"
}
ALPS: Active learning via perturbations
Kiyasseh D, Zhu T & Clifton DA (2020), arXiv
BibTeX
@article{alpsactivelearn-2020/,
title={ALPS: Active learning via perturbations},
author={Kiyasseh D, Zhu T & Clifton DA},
journal={arXiv},
year = "2020"
}
CLOPS: Continual learning of physiological signals
Kiyasseh D, Zhu T & Clifton DA (2020), arXiv
BibTeX
@article{clopscontinuall-2020/,
title={CLOPS: Continual learning of physiological signals},
author={Kiyasseh D, Zhu T & Clifton DA},
journal={arXiv},
year = "2020"
}
DROPS: Deep retrieval of physiological signals via attribute-specific clinical prototypes
Kiyasseh D, Clifton DA & Zhu T (2020), arXiv
BibTeX
@article{dropsdeepretrie-2020/,
title={DROPS: Deep retrieval of physiological signals via attribute-specific clinical prototypes},
author={Kiyasseh D, Clifton DA & Zhu T},
journal={arXiv},
year = "2020"
}
PCPs: Patient cardiac prototypes
Kiyasseh D, Zhu T & Clifton DA (2020), arXiv
BibTeX
@article{pcpspatientcard-2020/,
title={PCPs: Patient cardiac prototypes},
author={Kiyasseh D, Zhu T & Clifton DA},
journal={arXiv},
year = "2020"
}
Phenotyping clusters of patient trajectories suffering from chronic complex disease
Aguiar H, Santos M, Watkinson P & Zhu T (2020), arXiv
BibTeX
@article{phenotypingclus-2020/,
title={Phenotyping clusters of patient trajectories suffering from chronic complex disease},
author={Aguiar H, Santos M, Watkinson P & Zhu T},
journal={arXiv},
year = "2020"
}
SoQal: Selective Oracle Questioning in Active Learning
Kiyasseh D, Zhu T & Clifton DA (2020), arXiv
BibTeX
@article{soqalselectiveo-2020/,
title={SoQal: Selective Oracle Questioning in Active Learning},
author={Kiyasseh D, Zhu T & Clifton DA},
journal={arXiv},
year = "2020"
}
Vital-Sign Synchrony as a Marker for Patient Circadian Rhythms in an Intensive Care Unit
Davidson S, Villarroel M, Finnegan E, Harford M, Jorge J et al. (2020), 2020 COMPUTING IN CARDIOLOGY
Comparing Circadian Rhythms in Blood Pressure Computed From the Arterial Line and Sphygmomanometer in the ICU
Finnegan E, Villarroel M, Davidson S, Harford M, Jorge J et al. (2020), 2020 COMPUTING IN CARDIOLOGY
Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus
Duong HTH, Tadesse GA, Nhat PTH, Hao NV, Prince J et al. (2019), American Journal of Tropical Medicine and Hygiene, 102(2), 403-407
BibTeX
@article{heartratevariab-2019/12,
title={Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus},
author={Duong HTH, Tadesse GA, Nhat PTH, Hao NV, Prince J et al.},
journal={American Journal of Tropical Medicine and Hygiene},
volume={102},
pages={403-407},
publisher={American Society of Tropical Medicine and Hygiene },
year = "2019"
}
Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus
Duong HTH, Tadesse GA, Nhat PTH, Hao NV, Prince J et al. (2019), American Journal of Tropical Medicine and Hygiene, 102(2), 403-407
BibTeX
@article{heartratevariab-2019/12,
title={Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus},
author={Duong HTH, Tadesse GA, Nhat PTH, Hao NV, Prince J et al.},
journal={American Journal of Tropical Medicine and Hygiene},
volume={102},
pages={403-407},
publisher={American Society of Tropical Medicine and Hygiene },
year = "2019"
}
Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation
Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D et al. (2019), BMJ Open, 9(11)
BibTeX
@article{earlywarningsco-2019/11,
title={Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation},
author={Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D et al.},
journal={BMJ Open},
volume={9},
number={e033301},
publisher={BMJ Publishing Group},
year = "2019"
}
Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation
Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D et al. (2019), BMJ Open, 9(11)
BibTeX
@article{earlywarningsco-2019/11,
title={Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation},
author={Shamout F, Zhu T, Clifton L, Briggs J, Prytherch D et al.},
journal={BMJ Open},
volume={9},
number={e033301},
publisher={BMJ Publishing Group},
year = "2019"
}
Combining multi-modal statistics for welfare prediction using deep learning
Sharma P, Manandhar A, Thomson P, Katuva J, Hope R et al. (2019), Sustainability, 11(22)
Combining Multi-Modal Statistics for Welfare Prediction Using Deep Learning
Sharma P, Manandhar A, Thomson P, Katuva J, Hope R et al. (2019), SUSTAINABILITY, 11(22)
Heart rate variability as an indicator of autonomic nervous system disturbance in tetanus
Duong HTH, Abebe Tadesse G, Nhat PTH, Van Hao N, Prince J et al. (2019)
Cardiovascular disease diagnosis using cross-domain transfer learning
Tadesse G, Zhu T, Liu Y, Zhou Y, Chen J et al. (2019), 4262-4265
BibTeX
@inproceedings{cardiovasculard-2019/10,
title={Cardiovascular disease diagnosis using cross-domain transfer learning},
author={Tadesse G, Zhu T, Liu Y, Zhou Y, Chen J et al.},
booktitle={2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
pages={4262-4265},
year = "2019"
}
Cardio-respiratory signal extraction from video camera data for continuous non-contact vital sign monitoring using deep learning
Chaichulee S, Villarroel M, Jorge J, Arteta C, McCormick K et al. (2019), Physiological Measurement, 40
BibTeX
@article{cardiorespirato-2019/10,
title={Cardio-respiratory signal extraction from video camera data for continuous non-contact vital sign monitoring using deep learning},
author={Chaichulee S, Villarroel M, Jorge J, Arteta C, McCormick K et al.},
journal={Physiological Measurement},
volume={40},
number={115001},
publisher={IOP Publishing},
year = "2019"
}
Deep interpretable early warning system for the detection of clinical deterioration
Shamout F, Zhu T, Sharma P, Watkinson PJ & Clifton DA (2019), IEEE Journal of Biomedical and Health Informatics, 24(2), 437-446
BibTeX
@article{deepinterpretab-2019/9,
title={Deep interpretable early warning system for the detection of clinical deterioration},
author={Shamout F, Zhu T, Sharma P, Watkinson PJ & Clifton DA},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={24},
pages={437-446},
publisher={Institute of Electrical and Electronics Engineers},
year = "2019"
}
A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate.
Morelli D, Bartoloni L, Rossi A & Clifton DA (2019), Physiological measurement, 40(9), 095001
BibTeX
@article{acomputationall-2019/9,
title={A computationally efficient algorithm to obtain an accurate and interpretable model of the effect of circadian rhythm on resting heart rate.},
author={Morelli D, Bartoloni L, Rossi A & Clifton DA},
journal={Physiological measurement},
volume={40},
pages={095001},
year = "2019"
}
Deep interpretable early warning system for the detection of clinical deterioration
Shamout F, Zhu T, Sharma P, Watkinson PJ & Clifton DA (2019), IEEE Journal of Biomedical and Health Informatics, 24(2), 437-446
BibTeX
@article{deepinterpretab-2019/9,
title={Deep interpretable early warning system for the detection of clinical deterioration},
author={Shamout F, Zhu T, Sharma P, Watkinson PJ & Clifton DA},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={24},
pages={437-446},
publisher={Institute of Electrical and Electronics Engineers},
year = "2019"
}
Uncertainty-Aware Model for Reliable Prediction of Sepsis in the ICU
Pimentel MAF, Mahdi A, Redfern O, Santos MD & Tarassenko L (2019), Computing in Cardiology, 2019-September
Automated method for detecting and reading seven-segment digits from images of blood glucose metres and blood pressure monitors.
Finnegan E, Villarroel M, Velardo C & Tarassenko L (2019), Journal of medical engineering & technology, 43(6), 341-355
BibTeX
@article{automatedmethod-2019/8,
title={Automated method for detecting and reading seven-segment digits from images of blood glucose metres and blood pressure monitors.},
author={Finnegan E, Villarroel M, Velardo C & Tarassenko L},
journal={Journal of medical engineering & technology},
volume={43},
pages={341-355},
year = "2019"
}
Analysis of the impact of interpolation methods of missing RR-intervals caused by motion artifacts on HRV features estimations
Morelli D, Rossi A, Cairo M & Clifton DA (2019), Sensors, 19(14)
BibTeX
@article{analysisoftheim-2019/7,
title={Analysis of the impact of interpolation methods of missing RR-intervals caused by motion artifacts on HRV features estimations},
author={Morelli D, Rossi A, Cairo M & Clifton DA},
journal={Sensors},
volume={19},
number={3163},
publisher={MDPI},
year = "2019"
}
Blockchain in health care: hype, trust, and digital health.
Leeming G, Ainsworth J & Clifton DA (2019), Lancet (London, England), 393(10190), 2476-2477
Achieving affordable critical care in low-income and middle-income countries
Turner H, Hao NV, Yacoub S, Hoang VMT, Clifton D et al. (2019), BMJ Global Health, 4(3)
Feasibility of mood monitoring over one year for people with chronic obstructive pulmonary disease using an mHealth system: a retrospective analysis (Preprint)
Whelan MAXINE, Velardo CARMELO, Rutter H, Tarassenko LIONEL & Farmer ANDREW (2019), JMIR mHealth and uHealth
BibTeX
@article{feasibilityofmo-2019/6,
title={Feasibility of mood monitoring over one year for people with chronic obstructive pulmonary disease using an mHealth system: a retrospective analysis (Preprint)},
author={Whelan MAXINE, Velardo CARMELO, Rutter H, Tarassenko LIONEL & Farmer ANDREW},
journal={JMIR mHealth and uHealth},
publisher={JMIR Publications Inc.},
year = "2019"
}
Patient centred variables with univariate associations with unplanned ICU admission: a systematic review
Malycha J, Bonnici T, Clifton D, Ludbrook G, Young JD et al. (2019), BMC Medical Informatics and Decision Making, 19(1)
BibTeX
@article{patientcentredv-2019/5,
title={Patient centred variables with univariate associations with unplanned ICU admission: a systematic review},
author={Malycha J, Bonnici T, Clifton D, Ludbrook G, Young JD et al.},
journal={BMC Medical Informatics and Decision Making},
volume={19},
number={98},
publisher={BioMed Central},
year = "2019"
}
What lies downstream: Cellular oxygen delivery during hemodialysis.
MacEwen C, Watkinson P, Tarassenko L & Pugh C (2019), Seminars in dialysis, 32(3), 232-236
Mobile messaging support versus usual care for people with type 2 diabetes on glycemic control: protocol for a multicenter randomized controlled trial
Farmer A, Bobrow K, Leon N, Williams N, Phiri E et al. (2019), JMIR research protocols, 8(6)
BibTeX
@article{mobilemessaging-2019/5,
title={Mobile messaging support versus usual care for people with type 2 diabetes on glycemic control: protocol for a multicenter randomized controlled trial},
author={Farmer A, Bobrow K, Leon N, Williams N, Phiri E et al.},
journal={JMIR research protocols},
volume={8},
number={e12377},
publisher={JMIR Publications},
year = "2019"
}
How to maintain the maximal level of blinding in randomisation for a placebo-controlled drug trial
Clifton L & Clifton D (2019), Contemporary Clinical Trials Communications, 14
BibTeX
@article{howtomaintainth-2019/4,
title={How to maintain the maximal level of blinding in randomisation for a placebo-controlled drug trial},
author={Clifton L & Clifton D},
journal={Contemporary Clinical Trials Communications},
volume={14},
number={100356},
publisher={Elsevier},
year = "2019"
}
The effect of fractional inspired oxygen concentration on early warning score performance: a database analysis
Malycha J, Farajidavar N, Pimentel MAF, Redfern O, Clifton DA et al. (2019), Resuscitation, 139, 192-199
BibTeX
@article{theeffectoffrac-2019/4,
title={The effect of fractional inspired oxygen concentration on early warning score performance: a database analysis},
author={Malycha J, Farajidavar N, Pimentel MAF, Redfern O, Clifton DA et al.},
journal={Resuscitation},
volume={139},
pages={192-199},
publisher={Elsevier},
year = "2019"
}
Patient-specific physiological monitoring and prediction using structured Gaussian processes
Zhu T, Wright Colopy G, Macewen C, Niehaus K, Yang Y et al. (2019), IEEE Access, 7, 58094-58103
BibTeX
@article{patientspecific-2019/4,
title={Patient-specific physiological monitoring and prediction using structured Gaussian processes},
author={Zhu T, Wright Colopy G, Macewen C, Niehaus K, Yang Y et al.},
journal={IEEE Access},
volume={7},
pages={58094-58103},
publisher={Institute of Electrical and Electronics Engineers},
year = "2019"
}
Non-invasive stroke volume estimation by transthoracic electrical bioimpedance versus Doppler echocardiography in healthy volunteers
Harford M, Clark SH, Smythe JF, Gerry S, Villarroel M et al. (2019), Journal of Medical Engineering and Technology, 43(1), 33-37
BibTeX
@article{noninvasivestro-2019/4,
title={Non-invasive stroke volume estimation by transthoracic electrical bioimpedance versus Doppler echocardiography in healthy volunteers},
author={Harford M, Clark SH, Smythe JF, Gerry S, Villarroel M et al.},
journal={Journal of Medical Engineering and Technology},
volume={43},
pages={33-37},
publisher={Taylor and Francis},
year = "2019"
}
The effect of fractional inspired oxygen concentration on early warning score performance: a database analysis
Malycha J, Farajidavar N, Pimentel MAF, Redfern O, Clifton DA et al. (2019), Resuscitation, 139, 192-199
BibTeX
@article{theeffectoffrac-2019/4,
title={The effect of fractional inspired oxygen concentration on early warning score performance: a database analysis},
author={Malycha J, Farajidavar N, Pimentel MAF, Redfern O, Clifton DA et al.},
journal={Resuscitation},
volume={139},
pages={192-199},
publisher={Elsevier},
year = "2019"
}
Assessment of signal processing methods for measuring the respiratory rate in the neonatal intensive care unit
Jorge J, Villarroel M, Chaichulee S, Green G, McCormick K et al. (2019), IEEE Journal of Biomedical and Health Informatics, 23(6), 2335-2346
BibTeX
@article{assessmentofsig-2019/4,
title={Assessment of signal processing methods for measuring the respiratory rate in the neonatal intensive care unit},
author={Jorge J, Villarroel M, Chaichulee S, Green G, McCormick K et al.},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={23},
pages={2335-2346},
publisher={Institute of Electrical and Electronics Engineers},
year = "2019"
}
Continuous-valued annotations aggregation for heart rate detection
Xie Y, Li J, Zhu T & Liu C (2019), IEEE Access, 7, 37664-37671
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis
Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA et al. (2019), Bioinformatics, 35(18), 3240-3249
BibTeX
@article{deepamrforpredi-2019/1,
title={DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis},
author={Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA et al.},
journal={Bioinformatics},
volume={35},
pages={3240-3249},
publisher={Oxford University Press},
year = "2019"
}
The correlation between baseline score and post-intervention score, and its implications for statistical analysis
Clifton L & Clifton D (2019), Trials, 43(20)
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis
Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA et al. (2019), Bioinformatics, 35(18), 3240-3249
BibTeX
@article{deepamrforpredi-2019/1,
title={DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis},
author={Yang Y, Walker TM, Walker AS, Wilson DJ, Peto TEA et al.},
journal={Bioinformatics},
volume={35},
pages={3240-3249},
publisher={Oxford University Press},
year = "2019"
}
Gaussian processes for personalized interpretable volatility metrics in the step-down ward
Colopy GW, Roberts SJ & Clifton D (2019), IEEE Journal of Biomedical and Health Informatics, 23(3), 949-959
BibTeX
@article{gaussianprocess-2019/1,
title={Gaussian processes for personalized interpretable volatility metrics in the step-down ward},
author={Colopy GW, Roberts SJ & Clifton D},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={23},
pages={949-959},
publisher={Institute of Electrical and Electronics Engineers},
year = "2019"
}
Predicting atrial fibrillation in primary care using machine learning
Hill NR, Ayoubkhani D, McEwan P, Sugrue DM, Farooqui U et al. (2019), PloS One, 14(11)
Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes
Zhu T, Colopy GW, Macewen C, Niehaus K, Yang Y et al. (2019), IEEE Access, 7, 58094-58103
BibTeX
@article{patientspecific-2019/,
title={Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes},
author={Zhu T, Colopy GW, Macewen C, Niehaus K, Yang Y et al.},
journal={IEEE Access},
volume={7},
pages={58094-58103},
publisher={Institute of Electrical and Electronics Engineers (IEEE)},
year = "2019"
}
A new physically meaningful threshold of sample entropy for detecting cardiovascular diseases
Xiong J, Liang X, Zhu T, Zhao L, Li J et al. (2019), Entropy, 21
BibTeX
@article{anewphysicallym-2019/,
title={A new physically meaningful threshold of sample entropy for detecting cardiovascular diseases},
author={Xiong J, Liang X, Zhu T, Zhao L, Li J et al.},
journal={Entropy},
volume={21},
number={9},
year = "2019"
}
Cardiovascular disease diagnosis using cross-domain transfer learning
Tadesse GA, Zhu T, Liu Y, Zhou Y, Chen J et al. (2019), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 4262-4265
BibTeX
@inproceedings{cardiovasculard-2019/,
title={Cardiovascular disease diagnosis using cross-domain transfer learning},
author={Tadesse GA, Zhu T, Liu Y, Zhou Y, Chen J et al.},
pages={4262-4265},
year = "2019"
}
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
el-Bouri R, Eyre D, Watkinson P, Zhu T, Clifton DA et al. (2019), 25TH AMERICAS CONFERENCE ON INFORMATION SYSTEMS (AMCIS 2019)
BibTeX
@article{studentteacherc-2019/,
title={Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location},
author={el-Bouri R, Eyre D, Watkinson P, Zhu T, Clifton DA et al.},
journal={25TH AMERICAS CONFERENCE ON INFORMATION SYSTEMS (AMCIS 2019)},
year = "2019"
}
Severity Detection Tool for Patients with Infectious Disease
Zhu T (2019)
BibTeX
@misc{severitydetecti-2019/,
title={Severity Detection Tool for Patients with Infectious Disease},
author={Zhu T},
year = "2019"
}
Severity detection tool for patients with infectious disease
Tadesse GA, Zhu T, Thanh NLN, Hung NT, Duong HTH et al. (2019), arXiv
BibTeX
@article{severitydetecti-2019/,
title={Severity detection tool for patients with infectious disease},
author={Tadesse GA, Zhu T, Thanh NLN, Hung NT, Duong HTH et al.},
journal={arXiv},
year = "2019"
}
Mobistudy: an open mobile-health platform for clinical research
Salvi D, Lee J, Velardo C, Goburdhun RA, Tarassenko L et al. (2019), 2019 IEEE 19TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE), 918-921
Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry
Jarchi D, Charlton P, Pimentel M, Casson A, Tarassenko L et al. (2018), Healthcare Technology Letters, 6(1), 19-26
BibTeX
@article{estimationofres-2018/12,
title={Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry},
author={Jarchi D, Charlton P, Pimentel M, Casson A, Tarassenko L et al.},
journal={Healthcare Technology Letters},
volume={6},
pages={19-26},
publisher={Institution of Engineering and Technology},
year = "2018"
}
Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry
Jarchi D, Charlton P, Pimentel M, Casson A, Tarassenko L et al. (2018), Healthcare Technology Letters, 6(1), 19-26
BibTeX
@article{estimationofres-2018/12,
title={Estimation of respiratory rate from motion contaminated photoplethysmography signals incorporating accelerometry},
author={Jarchi D, Charlton P, Pimentel M, Casson A, Tarassenko L et al.},
journal={Healthcare Technology Letters},
volume={6},
pages={19-26},
publisher={Institution of Engineering and Technology},
year = "2018"
}
Monitoring Jet Engines and the Health of People.
Tarassenko L & Topol EJ (2018), JAMA, 320(22), 2309-2310
Application of machine learning techniques to tuberculosis drug resistance analysis
Kouchaki S, Yang Y, Walker T, Walker A, Wilson D et al. (2018), Bioinformatics, 35(13), 2276-2282
BibTeX
@article{applicationofma-2018/11,
title={Application of machine learning techniques to tuberculosis drug resistance analysis},
author={Kouchaki S, Yang Y, Walker T, Walker A, Wilson D et al.},
journal={Bioinformatics},
volume={35},
pages={2276-2282},
publisher={Oxford University Press},
year = "2018"
}
Distributed inference condition monitoring system for rural infrastructure in the developing world
Greeff H, Manandhar A, Thomson P, Hope R & Clifton DA (2018), IEEE Sensors Journal, 19(5), 1820-1828
BibTeX
@article{distributedinfe-2018/11,
title={Distributed inference condition monitoring system for rural infrastructure in the developing world},
author={Greeff H, Manandhar A, Thomson P, Hope R & Clifton DA},
journal={IEEE Sensors Journal},
volume={19},
pages={1820-1828},
publisher={IEEE},
year = "2018"
}
Comparing different ways of calculating sample size for two independent means: A worked example
Clifton L, Birks J & Clifton D (2018), Contemporary Clinical Trials Communications, 13
BibTeX
@article{comparingdiffer-2018/11,
title={Comparing different ways of calculating sample size for two independent means: A worked example},
author={Clifton L, Birks J & Clifton D},
journal={Contemporary Clinical Trials Communications},
volume={13},
number={100309},
publisher={Elsevier},
year = "2018"
}
A crowdsourcing-based topic model for service matchmaking in Internet of Things
Liu Y, Du F, Sun J, Jiang Y, He J et al. (2018), FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 87, 186-197
BibTeX
@article{acrowdsourcingb-2018/10,
title={A crowdsourcing-based topic model for service matchmaking in Internet of Things},
author={Liu Y, Du F, Sun J, Jiang Y, He J et al.},
journal={FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE},
volume={87},
pages={186-197},
year = "2018"
}
Prediction of susceptibility to first-line tuberculosis drugs by DNA sequencing
Allix-Béguec C, Arandjelovic I, Bi L, Clifton D, Crook DW et al. (2018), New England Journal of Medicine, 379(15), 1403-1415
BibTeX
@article{predictionofsus-2018/10,
title={Prediction of susceptibility to first-line tuberculosis drugs by DNA sequencing},
author={Allix-Béguec C, Arandjelovic I, Bi L, Clifton D, Crook DW et al.},
journal={New England Journal of Medicine},
volume={379},
pages={1403-1415},
publisher={Massachusetts Medical Society},
year = "2018"
}
Validation of instantaneous respiratory rate using reflectance PPG from different body positions
Jarchi D, Salvi D, Tarassenko L & Clifton D (2018), Sensors, 18(11)
Impact of electronic versus paper vital sign observations on length-of-stay in trauma patients: stepped-wedge cluster randomised study
Wong D, Knight J, Birks J, Tarassenko L & Watkinson P (2018), JMIR Medical Informatics
BibTeX
@article{impactofelectro-2018/10,
title={Impact of electronic versus paper vital sign observations on length-of-stay in trauma patients: stepped-wedge cluster randomised study},
author={Wong D, Knight J, Birks J, Tarassenko L & Watkinson P},
journal={JMIR Medical Informatics},
publisher={JMIR Publications},
year = "2018"
}
Validation of instantaneous respiratory rate using reflectance PPG from different body positions
Jarchi D, Salvi D, Tarassenko L & Clifton D (2018), Sensors, 18(11)
Clinical Implications of the NICE 2015 Criteria for Gestational Diabetes Mellitus.
Bhatia M, Mackillop L, Bartlett K, Loerup L, Kenworthy YVONNE et al. (2018), Journal of clinical medicine(10)
An optimised algorithm for accurate steps counting from smart-phone accelerometry
Salvi D, Velardo C, Brynes J & Tarassenko L (2018), 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 4423-4427
Physical activity and sleep analysis of heart failure patients using multi-sensor patches
O'Donnell J, Velardo C, Shah , Khorshidi G, Salvi D et al. (2018), 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 18-21 July 2018, Honolulu, HI, USA, 6092-6095
Impact of Electronic Versus Paper Vital Sign Observations on Length of Stay in Trauma Patients: Stepped-Wedge, Cluster Randomized Controlled Trial (Preprint)
Wong DCW, Knight J, Birks JACQUELINE, Tarassenko LIONEL & Watkinson PETER (2018), JMIR Medical Informatics
BibTeX
@article{impactofelectro-2018/10,
title={Impact of Electronic Versus Paper Vital Sign Observations on Length of Stay in Trauma Patients: Stepped-Wedge, Cluster Randomized Controlled Trial (Preprint)},
author={Wong DCW, Knight J, Birks JACQUELINE, Tarassenko LIONEL & Watkinson PETER},
journal={JMIR Medical Informatics},
publisher={JMIR Publications Inc.},
year = "2018"
}
Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: development and validation of a multivariable model
Redfern O, Pimentel M, Prytherch D, Meredith P, Clifton DA et al. (2018), Resuscitation, 133, 75-81
BibTeX
@article{predictinginhos-2018/9,
title={Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: development and validation of a multivariable model},
author={Redfern O, Pimentel M, Prytherch D, Meredith P, Clifton DA et al.},
journal={Resuscitation},
volume={133},
pages={75-81},
publisher={Elsevier},
year = "2018"
}
Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: development and validation of a multivariable model
Redfern O, Pimentel M, Prytherch D, Meredith P, Clifton DA et al. (2018), Resuscitation, 133, 75-81
BibTeX
@article{predictinginhos-2018/9,
title={Predicting in-hospital mortality and unanticipated admissions to the intensive care unit using routinely collected blood tests and vital signs: development and validation of a multivariable model},
author={Redfern O, Pimentel M, Prytherch D, Meredith P, Clifton DA et al.},
journal={Resuscitation},
volume={133},
pages={75-81},
publisher={Elsevier},
year = "2018"
}
Smoothing effect in vital-sign recordings: fact or fiction? A retrospective cohort analysis of manual and continuous vital-sign measurements to assess data smoothing in post-operative care
Tomlinson HR, Pimentel MAF, Gerry S, Clifton DA, Tarassenko L et al. (2018), Anesthesia and Analgesia, 127(4), 960-966
BibTeX
@article{smoothingeffect-2018/8,
title={Smoothing effect in vital-sign recordings: fact or fiction? A retrospective cohort analysis of manual and continuous vital-sign measurements to assess data smoothing in post-operative care},
author={Tomlinson HR, Pimentel MAF, Gerry S, Clifton DA, Tarassenko L et al.},
journal={Anesthesia and Analgesia},
volume={127},
pages={960-966},
publisher={Lippincott Williams & Wilkins},
year = "2018"
}
Validation of Modelflow Estimates of Cardiac Output in Hemodialysis Patients.
MacEwen C, Sutherland S, Daly J, Pugh C & Tarassenko L (2018), Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy, 22(4), 337-344
BibTeX
@article{validationofmod-2018/8,
title={Validation of Modelflow Estimates of Cardiac Output in Hemodialysis Patients.},
author={MacEwen C, Sutherland S, Daly J, Pugh C & Tarassenko L},
journal={Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy},
volume={22},
pages={337-344},
year = "2018"
}
Smoothing effect in vital-sign recordings: fact or fiction? A retrospective cohort analysis of manual and continuous vital-sign measurements to assess data smoothing in post-operative care
Tomlinson HR, Pimentel MAF, Gerry S, Clifton DA, Tarassenko L et al. (2018), Anesthesia and Analgesia, 127(4), 960-966
BibTeX
@article{smoothingeffect-2018/8,
title={Smoothing effect in vital-sign recordings: fact or fiction? A retrospective cohort analysis of manual and continuous vital-sign measurements to assess data smoothing in post-operative care},
author={Tomlinson HR, Pimentel MAF, Gerry S, Clifton DA, Tarassenko L et al.},
journal={Anesthesia and Analgesia},
volume={127},
pages={960-966},
publisher={Lippincott Williams & Wilkins},
year = "2018"
}
Self-management of postnatal hypertension: the SNAP-HT trial
Cairns AE, Tucker KL, Leeson P, MacKillop LH, Santos M et al. (2018), Hypertension, 72(2)
Unsupervised Bayesian inference to fuse biosignal sensory estimates for personalising care
Zhu TT, Pimentel MAF, Clifford G & Clifton DA (2018), IEEE Journal of Biomedical and Health Informatics, 23(1), 47-58
BibTeX
@article{unsupervisedbay-2018/6,
title={Unsupervised Bayesian inference to fuse biosignal sensory estimates for personalising care},
author={Zhu TT, Pimentel MAF, Clifford G & Clifton DA},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={23},
pages={47-58},
publisher={IEEE},
year = "2018"
}
Bayesian fusion of physiological measurements using a signal quality extension
Zhu TT, Johnson AEW, Yang Y, Clifford GD & Clifton D (2018), Physiological Measurement , 39
Unsupervised Bayesian inference to fuse biosignal sensory estimates for personalising care
Zhu TT, Pimentel MAF, Clifford G & Clifton DA (2018), IEEE Journal of Biomedical and Health Informatics, 23(1), 47-58
BibTeX
@article{unsupervisedbay-2018/6,
title={Unsupervised Bayesian inference to fuse biosignal sensory estimates for personalising care},
author={Zhu TT, Pimentel MAF, Clifford G & Clifton DA},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={23},
pages={47-58},
publisher={IEEE},
year = "2018"
}
Accelerometry-Based Estimation of Respiratory Rate for Post-Intensive Care Patient Monitoring
Jarchi D, Rodgers SJ, Tarassenko L & Clifton DA (2018), IEEE SENSORS JOURNAL, 18(12), 4981-4989
Bayesian fusion of physiological measurements using a signal quality extension
Zhu TT, Johnson AEW, Yang Y, Clifford GD & Clifton D (2018), Physiological Measurement , 39
Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data
Watkinson P, Pimentel M, Clifton D & Tarassenko L (2018), Resuscitation, 129, 55-60
BibTeX
@article{manualcentileba-2018/6,
title={Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data},
author={Watkinson P, Pimentel M, Clifton D & Tarassenko L},
journal={Resuscitation},
volume={129},
pages={55-60},
publisher={Elsevier},
year = "2018"
}
Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data
Watkinson P, Pimentel M, Clifton D & Tarassenko L (2018), Resuscitation, 129, 55-60
BibTeX
@article{manualcentileba-2018/6,
title={Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data},
author={Watkinson P, Pimentel M, Clifton D & Tarassenko L},
journal={Resuscitation},
volume={129},
pages={55-60},
publisher={Elsevier},
year = "2018"
}
Applied machine learning for the prediction of growth of abdominal aortic aneurysm in humans
Lee R, Jarchi D, Perera R, Jones A, Cassimjee I et al. (2018), EJVES Short Reports, 39, 24-28
BibTeX
@article{appliedmachinel-2018/5,
title={Applied machine learning for the prediction of growth of abdominal aortic aneurysm in humans},
author={Lee R, Jarchi D, Perera R, Jones A, Cassimjee I et al.},
journal={EJVES Short Reports},
volume={39},
pages={24-28},
publisher={Elsevier},
year = "2018"
}
Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes
Zhu T, Colopy GW, Pugh CW & Clifton DA (2018), 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018, 2018-January, 186-189
Point process models for novelty detection on spatial point patterns and their extremes
Pimentel MAF, Watkinson PJ & Clifton DA (2018), Computational Statistics and Data Analysis, 125, 86-103
BibTeX
@article{pointprocessmod-2018/4,
title={Point process models for novelty detection on spatial point patterns and their extremes},
author={Pimentel MAF, Watkinson PJ & Clifton DA},
journal={Computational Statistics and Data Analysis},
volume={125},
pages={86-103},
publisher={Elsevier},
year = "2018"
}
Visualisation of long-term ECG signals applied to post-intensive care patients
Jarchi D, Mahdi A, Tarassenko L & Clifton DA (2018), Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 165-168
BibTeX
@inproceedings{visualisationof-2018/4,
title={Visualisation of long-term ECG signals applied to post-intensive care patients},
author={Jarchi D, Mahdi A, Tarassenko L & Clifton DA},
booktitle={2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
pages={165-168},
year = "2018"
}
Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings
Jarchi D, Salvi D, Velardo C, Mandi A, Tarassenko L et al. (2018), Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2018), 144-147
BibTeX
@inproceedings{estimationofhrv-2018/4,
title={Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings},
author={Jarchi D, Salvi D, Velardo C, Mandi A, Tarassenko L et al.},
booktitle={2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
pages={144-147},
year = "2018"
}
Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes
Zhu T, Colopy GW, Pugh CW & Clifton DA (2018), 2018 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2018, 2018-January, 186-189
Accelerometry-based estimation of respiratory rate for post-intensive care patient monitoring
Jarchi D, Rodgers S-J, Tarassenko L & Clifton DA (2018), IEEE Sensors Journal, 18(12), 4981-4989
BibTeX
@article{accelerometryba-2018/4,
title={Accelerometry-based estimation of respiratory rate for post-intensive care patient monitoring},
author={Jarchi D, Rodgers S-J, Tarassenko L & Clifton DA},
journal={IEEE Sensors Journal},
volume={18},
pages={4981-4989},
publisher={Institute of Electrical and Electronics Engineers},
year = "2018"
}
Visualisation of long-term ECG signals applied to post-intensive care patients
Jarchi D, Mahdi A, Tarassenko L & Clifton DA (2018), Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 165-168
BibTeX
@inproceedings{visualisationof-2018/4,
title={Visualisation of long-term ECG signals applied to post-intensive care patients},
author={Jarchi D, Mahdi A, Tarassenko L & Clifton DA},
booktitle={2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
pages={165-168},
year = "2018"
}
Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings
Jarchi D, Salvi D, Velardo C, Mandi A, Tarassenko L et al. (2018), Proceedings of the 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN 2018), 144-147
BibTeX
@inproceedings{estimationofhrv-2018/4,
title={Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings},
author={Jarchi D, Salvi D, Velardo C, Mandi A, Tarassenko L et al.},
booktitle={2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)},
pages={144-147},
year = "2018"
}
Comparing the efficacy of a mobile phone-based blood glucose management system with standard clinic care in women with gestational diabetes: Randomized controlled trial
Mackillop L, Hirst JE, Bartlett KJ, Birks JS, Clifton LA et al. (2018), JMIR Mhealth and Uhealth, 6(3), e71
BibTeX
@article{comparingtheeff-2018/3,
title={Comparing the efficacy of a mobile phone-based blood glucose management system with standard clinic care in women with gestational diabetes: Randomized controlled trial},
author={Mackillop L, Hirst JE, Bartlett KJ, Birks JS, Clifton LA et al.},
journal={JMIR Mhealth and Uhealth},
volume={6},
pages={e71},
publisher={JMIR Publications},
year = "2018"
}
Artificial intelligence in health care: enabling informed care
Tarassenko L & Watkinson P (2018), Lancet, 391(10127), 1260
GDm-Health Plus: Development of a remote behavioural lifestyle management system for women with gestational diabetes
Dyson P, Hirst J, Bartlett CJ, Kenworthy Y, Hargreaves A et al. (2018), Diabetic Medicine, 35(S1)
Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial (Preprint)
Mackillop L, Hirst JANE, Bartlett KJ, Birks JACQUELINE, Clifton LEI et al. (2018), JMIR mHealth and uHealth
BibTeX
@article{comparingtheeff-2018/3,
title={Comparing the Efficacy of a Mobile Phone-Based Blood Glucose Management System With Standard Clinic Care in Women With Gestational Diabetes: Randomized Controlled Trial (Preprint)},
author={Mackillop L, Hirst JANE, Bartlett KJ, Birks JACQUELINE, Clifton LEI et al.},
journal={JMIR mHealth and uHealth},
publisher={JMIR Publications Inc.},
year = "2018"
}
Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial
McManus R, Mant J, Franssen M, Nickless A, Schwartz C et al. (2018), Lancet, 381(10124), 949-959
BibTeX
@article{efficacyofselfm-2018/2,
title={Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial},
author={McManus R, Mant J, Franssen M, Nickless A, Schwartz C et al.},
journal={Lancet},
volume={381},
pages={949-959},
publisher={Elsevier},
year = "2018"
}
Cerebral ischemia during hemodialysis—finding the signal in the noise
MacEwen C, Watkinson P, Tarassenko L & Pugh C (2018), Seminars in Dialysis, 31(3), 199-203
Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial
McManus R, Mant J, Franssen M, Nickless A, Schwartz C et al. (2018), Lancet, 391(10124), 949-959
BibTeX
@article{efficacyofselfm-2018/2,
title={Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial},
author={McManus R, Mant J, Franssen M, Nickless A, Schwartz C et al.},
journal={Lancet},
volume={391},
pages={949-959},
publisher={Lancet},
year = "2018"
}
Localised photoplethysmography imaging for heart rate estimation of pre-term infants in the clinic
Chaichulee S, Villarroel M, Jorge J, Arteta C, Green G et al. (2018), Progress in Biomedical Optics and Imaging; Optical Diagnostics and Sensing XVIII: Toward Point-of-Care Diagnostics, 19(35)
Using the Medical Research Council framework for development and evaluation of complex interventions in a low resource setting to develop a theory-based treatment support intervention delivered via SMS text message to improve blood pressure control
Bobrow K, Farmer A, Cishe N, Nwagi N, Namane M et al. (2018), BMC Health Services Research, 18(33), 1-15
BibTeX
@article{usingthemedical-2018/1,
title={Using the Medical Research Council framework for development and evaluation of complex interventions in a low resource setting to develop a theory-based treatment support intervention delivered via SMS text message to improve blood pressure control},
author={Bobrow K, Farmer A, Cishe N, Nwagi N, Namane M et al.},
journal={BMC Health Services Research},
volume={18},
pages={1-15},
publisher={BioMed Central},
year = "2018"
}
Data fusion for improved camera-based detection of respiration in neonates
Jorge J, Villarroel M, Chaichulee S, McCormick K & Tarassenko L (2018), OPTICAL DIAGNOSTICS AND SENSING XVIII: TOWARD POINT-OF-CARE DIAGNOSTICS, 10501
Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data
Yang Y, Niehaus KE, Walker TM, Iqbal Z, Walker A et al. (2017), Bioinformatics, 36(10), 1666-1671
BibTeX
@article{machinelearning-2017/12,
title={Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data},
author={Yang Y, Niehaus KE, Walker TM, Iqbal Z, Walker A et al.},
journal={Bioinformatics},
volume={36},
pages={1666-1671},
publisher={Oxford University Press},
year = "2017"
}
Implementing an electronic observation and early warning score chart in the emergency department: a feasibility study.
Pullinger R, Wilson S, Way R, Santos M, Wong D et al. (2017), European journal of emergency medicine : official journal of the European Society for Emergency Medicine, 24(6), e11-e16
BibTeX
@article{implementingane-2017/12,
title={Implementing an electronic observation and early warning score chart in the emergency department: a feasibility study.},
author={Pullinger R, Wilson S, Way R, Santos M, Wong D et al.},
journal={European journal of emergency medicine : official journal of the European Society for Emergency Medicine},
volume={24},
pages={e11-e16},
year = "2017"
}
Bayesian optimisation of personalised models for patient vital-sign monitoring
Colopy GW, Roberts SJ & Clifton DA (2017), IEEE Journal of Biomedical and Health Informatics, 22(2), 301-310
A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography
Birrenkott DA, Pimentel MAF, Watkinson PJ & Clifton DA (2017), IEEE Transactions on Biomedical Engineering, 65(9), 2033-2041
BibTeX
@article{arobustfusionmo-2017/12,
title={A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography},
author={Birrenkott DA, Pimentel MAF, Watkinson PJ & Clifton DA},
journal={IEEE Transactions on Biomedical Engineering},
volume={65},
pages={2033-2041},
publisher={Institute of Electrical and Electronics Engineers},
year = "2017"
}
Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data
Yang Y, Niehaus KE, Walker TM, Iqbal Z, Walker A et al. (2017), Bioinformatics, 36(10), 1666-1671
BibTeX
@article{machinelearning-2017/12,
title={Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data},
author={Yang Y, Niehaus KE, Walker TM, Iqbal Z, Walker A et al.},
journal={Bioinformatics},
volume={36},
pages={1666-1671},
publisher={Oxford University Press},
year = "2017"
}
Bayesian Optimisation of Personalised Models for Patient Vital-Sign Monitoring.
Colopy GW, Roberts S & Clifton D (2017), IEEE journal of biomedical and health informatics
A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography
Birrenkott D, Pimentel M, Watkinson P & Clifton D (2017), IEEE Transactions of Biomedical Engineering, 65(9), 2033-2041
BibTeX
@article{arobustfusionmo-2017/12,
title={A robust fusion model for estimating respiratory rate from photoplethysmography and electrocardiography},
author={Birrenkott D, Pimentel M, Watkinson P & Clifton D},
journal={IEEE Transactions of Biomedical Engineering},
volume={65},
pages={2033-2041},
publisher={IEEE},
year = "2017"
}
Implementing an electronic observation and early warning score chart in the emergency department: a feasibility study.
Pullinger R, Wilson S, Way R, Santos M, Wong D et al. (2017), European journal of emergency medicine : official journal of the European Society for Emergency Medicine, 24(6), e11-e16
BibTeX
@article{implementingane-2017/12,
title={Implementing an electronic observation and early warning score chart in the emergency department: a feasibility study.},
author={Pullinger R, Wilson S, Way R, Santos M, Wong D et al.},
journal={European journal of emergency medicine : official journal of the European Society for Emergency Medicine},
volume={24},
pages={e11-e16},
year = "2017"
}
Component isolation for multi-component signal analysis using a non-parametric gaussian latent feature model
Yang Y, Peng Z, Dong X, Zhang W & Clifton DA (2017), Mechanical Systems and Signal Processing, 103, 368-380
BibTeX
@article{componentisolat-2017/11,
title={Component isolation for multi-component signal analysis using a non-parametric gaussian latent feature model},
author={Yang Y, Peng Z, Dong X, Zhang W & Clifton DA},
journal={Mechanical Systems and Signal Processing},
volume={103},
pages={368-380},
publisher={Elsevier},
year = "2017"
}
Automated detection of sleep-boundary times using wrist-worn accelerometry
O’Donnell J, Hollowell S, Salimi-Khorshidi G, Velardo C, Sexton C et al. (2017)
Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review
Charlton P, Birrenkott DA, Bonnici T, Pimentel MAF, Johnson AEW et al. (2017), IEEE Reviews in Biomedical Engineering, 11, 2-20
BibTeX
@article{breathingratees-2017/10,
title={Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review},
author={Charlton P, Birrenkott DA, Bonnici T, Pimentel MAF, Johnson AEW et al.},
journal={IEEE Reviews in Biomedical Engineering},
volume={11},
pages={2-20},
publisher={IEEE},
year = "2017"
}
Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review
Charlton P, Birrenkott DA, Bonnici T, Pimentel MAF, Johnson AEW et al. (2017), IEEE Reviews in Biomedical Engineering, 11, 2-20
BibTeX
@article{breathingratees-2017/10,
title={Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review},
author={Charlton P, Birrenkott DA, Bonnici T, Pimentel MAF, Johnson AEW et al.},
journal={IEEE Reviews in Biomedical Engineering},
volume={11},
pages={2-20},
publisher={IEEE},
year = "2017"
}
Likelihood-based artefact detection in continuously-acquired patient vital signs
Colopy GW, Zhu T, Clifton L, Roberts SJ & Clifton DA (2017), 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2146-2149
Likelihood-based artefact detection in continuously-acquired patient vital signs
Colopy GW, Zhu T, Clifton L, Roberts SJ & Clifton DA (2017), 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2146-2149
Pregnancy physiology pattern prediction study (4P study): protocol of an observational cohort study collecting vital sign information to inform the development of an accurate centile-based obstetric early warning score
Kumar F, Kemp J, Edwards C, Pullon RM, Loerup L et al. (2017), BMJ Open, 7(9), e016034
BibTeX
@article{pregnancyphysio-2017/9,
title={Pregnancy physiology pattern prediction study (4P study): protocol of an observational cohort study collecting vital sign information to inform the development of an accurate centile-based obstetric early warning score},
author={Kumar F, Kemp J, Edwards C, Pullon RM, Loerup L et al.},
journal={BMJ Open},
volume={7},
pages={e016034},
publisher={BMJ Publishing Group},
year = "2017"
}
Relationship between Hypotension and Cerebral Ischemia during Hemodialysis.
MacEwen C, Sutherland S, Daly J, Pugh C & Tarassenko L (2017), Journal of the American Society of Nephrology : JASN, 28(8), 2511-2520
BibTeX
@article{relationshipbet-2017/8,
title={Relationship between Hypotension and Cerebral Ischemia during Hemodialysis.},
author={MacEwen C, Sutherland S, Daly J, Pugh C & Tarassenko L},
journal={Journal of the American Society of Nephrology : JASN},
volume={28},
pages={2511-2520},
year = "2017"
}
Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device
Morelli D, Bartoloni L, Colombo M, Plans D & Clifton DA (2017), Healthcare Technology Letters, 5(2), 59-64
BibTeX
@article{profilingthepro-2017/7,
title={Profiling the propagation of error from PPG to HRV features in a wearable physiological-monitoring device},
author={Morelli D, Bartoloni L, Colombo M, Plans D & Clifton DA},
journal={Healthcare Technology Letters},
volume={5},
pages={59-64},
publisher={Institution of Engineering and Technology},
year = "2017"
}
Relationship between hypotension and cerebral ischemia during hemodialysis
Macewen C, Sutherland S, Daly J, Pugh C & Tarassenko L (2017), Journal of the American Society of Nephrology, 28(8), 2511-2520
BibTeX
@article{relationshipbet-2017/7,
title={Relationship between hypotension and cerebral ischemia during hemodialysis},
author={Macewen C, Sutherland S, Daly J, Pugh C & Tarassenko L},
journal={Journal of the American Society of Nephrology},
volume={28},
pages={2511-2520},
publisher={American Society of Nephrology},
year = "2017"
}
Multi-task convolutional neural network for patient detection and skin segmentation in continuous non-contact vital sign monitoring
Chaichulee S, Villarroel M, Jorge J, Arteta C, Green G et al. (2017), International Conference on Automatic Face and Gesture Recognition
Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes
Zhu T, Colopy GW, Pugh CW & Clifton DA (2017), 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
BibTeX
@inproceedings{personalisedpat-2017/5,
title={Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes},
author={Zhu T, Colopy GW, Pugh CW & Clifton DA},
year = "2017"
}
Drug resistance classification for Mycobacterium tuberculosis using multi-output model with stacked auto-encoders
Yang Y & Clifton D (2017), 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17)
BibTeX
@inproceedings{drugresistancec-2017/5,
title={Drug resistance classification for Mycobacterium tuberculosis using multi-output model with stacked auto-encoders},
author={Yang Y & Clifton D},
year = "2017"
}
Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes
Zhu T, Colopy GW, Pugh CW & Clifton DA (2017), 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
BibTeX
@inproceedings{personalisedpat-2017/5,
title={Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes},
author={Zhu T, Colopy GW, Pugh CW & Clifton DA},
year = "2017"
}
Drug resistance classification for Mycobacterium tuberculosis using multi-output model with stacked auto-encoders
Yang Y & Clifton D (2017), 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17)
BibTeX
@inproceedings{drugresistancec-2017/5,
title={Drug resistance classification for Mycobacterium tuberculosis using multi-output model with stacked auto-encoders},
author={Yang Y & Clifton D},
year = "2017"
}
Comparing different ways of calculating sample size for a randomised controlled trial using baseline and post-intervention measurements
Clifton L, Birks J & Clifton D (2017), 4th International Clinical Trials Methodology Conference (ICTMC) and the 38th Annual Meeting of the Society for Clinical Trials
Self-management support using a digital health system compared with usual care for chronic obstructive pulmonary disease: randomized controlled trial
Farmer A, Williams V, Velardo C, Shah SA, Yu L-M et al. (2017), Journal of Medical Internet Research, 19(5)
BibTeX
@article{selfmanagements-2017/5,
title={Self-management support using a digital health system compared with usual care for chronic obstructive pulmonary disease: randomized controlled trial},
author={Farmer A, Williams V, Velardo C, Shah SA, Yu L-M et al.},
journal={Journal of Medical Internet Research},
volume={19},
number={e144},
publisher={JMIR Publications},
year = "2017"
}
Non-contact vital sign monitoring in the clinic
Villarroel M, Jorge J, Pugh C, Tarassenko L & IEEE (2017), 2017 12TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2017), 278-285
BibTeX
@inproceedings{noncontactvital-2017/5,
title={Non-contact vital sign monitoring in the clinic},
author={Villarroel M, Jorge J, Pugh C, Tarassenko L & IEEE },
booktitle={2017 12TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2017)},
pages={278-285},
year = "2017"
}
Bayesian optimisation of Gaussian processes for identifying the deteriorating patient
Colopy GW, Pimentel MAF, Roberts SJ & Clifton DA (2017), 2017 IEEE International Conference on Biomedical and Health Informatics, 85-88
Exacerbations in chronic obstructive pulmonary disease: Identification and prediction using a digital health system
Shah S, Velardo C, Farmer A & Tarassenko L (2017), Journal of Medical Internet Research, 19(3), e69
BibTeX
@article{exacerbationsin-2017/3,
title={Exacerbations in chronic obstructive pulmonary disease: Identification and prediction using a digital health system},
author={Shah S, Velardo C, Farmer A & Tarassenko L},
journal={Journal of Medical Internet Research},
volume={19},
pages={e69},
publisher={Journal of Medical Internet Research},
year = "2017"
}
Sensing hypoglycaemia at an earlier stage using an integrated physiological multi-signal data fusion approach
Theodorakis MJ, Clifton D, Colopy GW, Jorge J, Dhere A et al. (2017), DIABETIC MEDICINE, 34, 62-63
BibTeX
@article{sensinghypoglyc-2017/3,
title={Sensing hypoglycaemia at an earlier stage using an integrated physiological multi-signal data fusion approach},
author={Theodorakis MJ, Clifton D, Colopy GW, Jorge J, Dhere A et al.},
journal={DIABETIC MEDICINE},
volume={34},
pages={62-63},
year = "2017"
}
Accidental infrastructure for groundwater monitoring in Africa
Colchester F, Marais HG, Thomson P, Hope R & Clifton DA (2017), Environmental Modelling and Software, 91, 241-250
Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants
Charlton PH, Bonnici T, Tarassenko L, Alastruey J, Clifton D et al. (2017), Physiological Measurement, 38(5), 669-690
BibTeX
@article{extractionofres-2017/1,
title={Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants},
author={Charlton PH, Bonnici T, Tarassenko L, Alastruey J, Clifton D et al.},
journal={Physiological Measurement},
volume={38},
pages={669-690},
publisher={IOP Publishing},
year = "2017"
}
Bayesian Optimisation of Gaussian Processes for Identifying the Deteriorating Patient
Colopy GW, Pimentel MAF, Roberts S & Clifton DA (2017), 2017 IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL & HEALTH INFORMATICS (BHI)
A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare.
Triantafyllidis AK, Velardo C, Salvi D, Shah SA, Koutkias VG et al. (2017), IEEE journal of biomedical and health informatics, 21(1), 218-227
BibTeX
@article{asurveyofmobile-2017/1,
title={A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare.},
author={Triantafyllidis AK, Velardo C, Salvi D, Shah SA, Koutkias VG et al.},
journal={IEEE journal of biomedical and health informatics},
volume={21},
pages={218-227},
year = "2017"
}
Digital health system for personalised COPD long-term management
Velardo C, Shah SA, Gibson O, Clifford G, Heneghan C et al. (2017), BMC Medical Informatics and Decision Making, 17(1)
BibTeX
@article{digitalhealthsy-2017/1,
title={Digital health system for personalised COPD long-term management},
author={Velardo C, Shah SA, Gibson O, Clifford G, Heneghan C et al.},
journal={BMC Medical Informatics and Decision Making},
volume={17},
number={19},
publisher={BioMed Central},
year = "2017"
}
Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants
Charlton PH, Bonnici T, Tarassenko L, Alastruey J, Clifton D et al. (2017), Physiological Measurement, 38(5), 669-690
BibTeX
@article{extractionofres-2017/1,
title={Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants},
author={Charlton PH, Bonnici T, Tarassenko L, Alastruey J, Clifton D et al.},
journal={Physiological Measurement},
volume={38},
pages={669-690},
publisher={IOP Publishing},
year = "2017"
}
Non-contact monitoring of respiration in the neonatal intensive care unit
Jorge J, Villarroel M, Chaichulee S, Guazzi A, Davis S et al. (2017), 2017 12TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION (FG 2017), 286-293
Feasibility of obtaining measures of lifestyle from a smartphone app: the MyHeart Counts cardiovascular health study
McConnell MV, Shcherbina A, Pavlovic A, Homburger JR, Goldfeder RL et al. (2016), JAMA Cardiology, 2(1), 67-76.
BibTeX
@article{feasibilityofob-2016/12,
title={Feasibility of obtaining measures of lifestyle from a smartphone app: the MyHeart Counts cardiovascular health study},
author={McConnell MV, Shcherbina A, Pavlovic A, Homburger JR, Goldfeder RL et al.},
journal={JAMA Cardiology},
volume={2},
pages={67-76.},
publisher={American Medical Association},
year = "2016"
}
Analysis of teens’ chronic stress on micro-blog
Xue Y, Li Q, Zhao L, Jia J, Feng L et al. (2016), WISE 2016: Web Information Systems Engineering, 10042, 121-136
Hospital Alerting Via Electronic Noticeboard (HAVEN) Study Protocol
Watkinson P, Young JD, Prytherch D, Tarassenko L, Clifton D et al. (2016), HAVEN Project
BibTeX
@misc{hospitalalertin-2016/11,
title={Hospital Alerting Via Electronic Noticeboard (HAVEN) Study Protocol},
author={Watkinson P, Young JD, Prytherch D, Tarassenko L, Clifton D et al.},
year = "2016"
}
Telemedicine Technologies for Diabetes in Pregnancy: A Systematic Review and Meta-Analysis
Ming W-I, Mackillop LH, Farmer AJ, Loerup L, Bartlett K et al. (2016), Journal of Medical Internet Research, 18(11)
BibTeX
@article{telemedicinetec-2016/11,
title={Telemedicine Technologies for Diabetes in Pregnancy: A Systematic Review and Meta-Analysis},
author={Ming W-I, Mackillop LH, Farmer AJ, Loerup L, Bartlett K et al.},
journal={Journal of Medical Internet Research},
volume={18},
publisher={Journal of Medical Internet Research},
year = "2016"
}
Hospital Alerting Via Electronic Noticeboard (HAVEN) Study Protocol
Watkinson P, Young JD, Prytherch D, Tarassenko L, Clifton D et al. (2016), HAVEN Project
BibTeX
@misc{hospitalalertin-2016/11,
title={Hospital Alerting Via Electronic Noticeboard (HAVEN) Study Protocol},
author={Watkinson P, Young JD, Prytherch D, Tarassenko L, Clifton D et al.},
year = "2016"
}
Risk prediction for cardiovascular disease using ECG data in the China Kadoorie Biobank
Shen Y, Yang Y, Parish S, Chen Z, Clarke R et al. (2016), EMBC 16: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices
Birrenkott D, Pimentel MAF, Watkinson PJ & Clifton DA (2016), EMBC 16: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Bayesian Gaussian processes for identifying the deteriorating patient
Colopy GW, Pimentel MAF, Roberts SJ & Clifton DA (2016), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Towards a robust estimation of respiratory rate from pulse oximeters
Pimentel MAF, Johnson AEW, Charlton PH, Birrenkott DA, Watkinson PJ et al. (2016), IEEE Transactions on Biomedical Engineering
BibTeX
@article{towardsarobuste-2016/10,
title={Towards a robust estimation of respiratory rate from pulse oximeters},
author={Pimentel MAF, Johnson AEW, Charlton PH, Birrenkott DA, Watkinson PJ et al.},
journal={IEEE Transactions on Biomedical Engineering},
publisher={Institute of Electrical and Electronics Engineers},
year = "2016"
}
Digital blood glucose monitoring could provide new objective assessments of blood glucose control in women with gestational diabetes
Hirst JE, Loerup L, Mackillop L, Farmer A, Kenworthy Y et al. (2016), Diabetic Medicine, 33(11), 1598-1599
BibTeX
@article{digitalbloodglu-2016/10,
title={Digital blood glucose monitoring could provide new objective assessments of blood glucose control in women with gestational diabetes},
author={Hirst JE, Loerup L, Mackillop L, Farmer A, Kenworthy Y et al.},
journal={Diabetic Medicine},
volume={33},
pages={1598-1599},
publisher={Wiley},
year = "2016"
}
Creating connections – the development of a mobile-health monitoring system for heart failure: Qualitative findings from a usability cohort study
Chantler T, Paton C, Velardo C, Triantafyllidis A, Shah SA et al. (2016), Digital Health
BibTeX
@article{creatingconnect-2016/10,
title={Creating connections – the development of a mobile-health monitoring system for heart failure: Qualitative findings from a usability cohort study},
author={Chantler T, Paton C, Velardo C, Triantafyllidis A, Shah SA et al.},
journal={Digital Health},
year = "2016"
}
Automated signal quality assessment of mobile phone-recorded heart sound signals.
Springer DB, Brennan T, Ntusi N, Abdelrahman HY, Zühlke LJ et al. (2016), Journal of medical engineering & technology, 40(7-8), 342-355
BibTeX
@article{automatedsignal-2016/10,
title={Automated signal quality assessment of mobile phone-recorded heart sound signals.},
author={Springer DB, Brennan T, Ntusi N, Abdelrahman HY, Zühlke LJ et al.},
journal={Journal of medical engineering & technology},
volume={40},
pages={342-355},
year = "2016"
}
Towards a robust estimation of respiratory rate from pulse oximeters
Pimentel MAF, Johnson AEW, Charlton PH, Birrenkott DA, Watkinson PJ et al. (2016), IEEE Transactions on Biomedical Engineering
BibTeX
@article{towardsarobuste-2016/10,
title={Towards a robust estimation of respiratory rate from pulse oximeters},
author={Pimentel MAF, Johnson AEW, Charlton PH, Birrenkott DA, Watkinson PJ et al.},
journal={IEEE Transactions on Biomedical Engineering},
publisher={Institute of Electrical and Electronics Engineers},
year = "2016"
}
One-class classification of point patterns of extremes
Luca S, Clifton DA & Vanrumste B (2016), Journal of Machine Learning Research, 17(191), 1-21
BibTeX
@article{oneclassclassif-2016/9,
title={One-class classification of point patterns of extremes},
author={Luca S, Clifton DA & Vanrumste B},
journal={Journal of Machine Learning Research},
volume={17},
pages={1-21},
publisher={Journal of Machine Learning Research},
year = "2016"
}
Assessing the feasibility of non-contact vital sign monitoring
Watkinson P, Tarassenko L & Chevallier J (2016), NHS Health research authority
BibTeX
@misc{assessingthefea-2016/8,
title={Assessing the feasibility of non-contact vital sign monitoring},
author={Watkinson P, Tarassenko L & Chevallier J},
year = "2016"
}
Identifying lineage effects when controlling for population structure improves power in bacterial association studies
Earle SG, Wu CH, Charlesworth J, Stoesser N, Gordon NC et al. (2016), Nature Microbiology, 1(5)
BibTeX
@article{identifyingline-2016/4,
title={Identifying lineage effects when controlling for population structure improves power in bacterial association studies},
author={Earle SG, Wu CH, Charlesworth J, Stoesser N, Gordon NC et al.},
journal={Nature Microbiology},
volume={1},
number={16041},
publisher={Nature Research},
year = "2016"
}
Logistic Regression-HSMM-Based Heart Sound Segmentation.
Springer DB, Tarassenko L & Clifford GD (2016), IEEE transactions on bio-medical engineering, 63(4), 822-832
An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram.
Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R et al. (2016), Physiological measurement, 37(4), 610-626
BibTeX
@article{anassessmentofa-2016/3,
title={An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram.},
author={Charlton PH, Bonnici T, Tarassenko L, Clifton DA, Beale R et al.},
journal={Physiological measurement},
volume={37},
pages={610-626},
year = "2016"
}
Trial protocol to compare the efficacy of a smartphone-based blood glucose management system with standard clinic care in the gestational diabetic population.
Mackillop LH, Bartlett K, Birks J, Farmer AJ, Gibson OJ et al. (2016), BMJ open, 6(3), e009702
BibTeX
@article{trialprotocolto-2016/3,
title={Trial protocol to compare the efficacy of a smartphone-based blood glucose management system with standard clinic care in the gestational diabetic population.},
author={Mackillop LH, Bartlett K, Birks J, Farmer AJ, Gibson OJ et al.},
journal={BMJ open},
volume={6},
pages={e009702},
year = "2016"
}
An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram
Charlton PH, Bonnici T, Tarassenko L, Clifton D, Beale R et al. (2016), Physiological Measurement, 37(4), 610-626
BibTeX
@article{anassessmentofa-2016/3,
title={An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram},
author={Charlton PH, Bonnici T, Tarassenko L, Clifton D, Beale R et al.},
journal={Physiological Measurement},
volume={37},
pages={610-626},
publisher={IOP Publishing},
year = "2016"
}
Analysis of a data-fusion system for continuous vital sign monitoring in an emergency department.
Wilson SJ, Wong D, Pullinger RM, Way R, Clifton DA et al. (2016), European journal of emergency medicine : official journal of the European Society for Emergency Medicine, 23(1), 28-32
BibTeX
@article{analysisofadata-2016/2,
title={Analysis of a data-fusion system for continuous vital sign monitoring in an emergency department.},
author={Wilson SJ, Wong D, Pullinger RM, Way R, Clifton DA et al.},
journal={European journal of emergency medicine : official journal of the European Society for Emergency Medicine},
volume={23},
pages={28-32},
year = "2016"
}
Analysis of a data-fusion system for continuous vital sign monitoring in an emergency department.
Wilson SJ, Wong D, Pullinger RM, Way R, Clifton DA et al. (2016), European journal of emergency medicine : official journal of the European Society for Emergency Medicine, 23(1), 28-32
BibTeX
@article{analysisofadata-2016/2,
title={Analysis of a data-fusion system for continuous vital sign monitoring in an emergency department.},
author={Wilson SJ, Wong D, Pullinger RM, Way R, Clifton DA et al.},
journal={European journal of emergency medicine : official journal of the European Society for Emergency Medicine},
volume={23},
pages={28-32},
year = "2016"
}
Mobile Phone Text Messages to Support Treatment Adherence in Adults With High Blood Pressure (SMS-Text Adherence Support [StAR]): A Single-Blind, Randomized Trial.
Bobrow K, Farmer AJ, Springer D, Shanyinde M, Yu L-M et al. (2016), Circulation, 133(6), 592-600
BibTeX
@article{mobilephonetext-2016/2,
title={Mobile Phone Text Messages to Support Treatment Adherence in Adults With High Blood Pressure (SMS-Text Adherence Support [StAR]): A Single-Blind, Randomized Trial.},
author={Bobrow K, Farmer AJ, Springer D, Shanyinde M, Yu L-M et al.},
journal={Circulation},
volume={133},
pages={592-600},
year = "2016"
}
Machine learning and decision support in critical care
Johnson AEW, Ghassemi MM, Nemati S, Niehaus KE, Clifton DA et al. (2016), Proceedings of the IEEE, 104(2), 444-466
State-space approximations to Gaussian processes for patient vital-sign monitoring in computationally-constrained clinical environments
Colopy GW, Pimentel MAF, Roberts SJ & Clifton DA (2016), MEIbioeng 2016
BibTeX
@inproceedings{statespaceappro-2016/1,
title={State-space approximations to Gaussian processes for patient vital-sign monitoring in computationally-constrained clinical environments},
author={Colopy GW, Pimentel MAF, Roberts SJ & Clifton DA},
year = "2016"
}
The evaluation of an open source online training system for teaching 12 lead electrocardiographic interpretation
Breen C, Zhu T, Bond R, Finlay D & Clifford G (2016), Journal of Electrocardiology, 49, 454-461
BibTeX
@article{theevaluationof-2016/,
title={The evaluation of an open source online training system for teaching 12 lead electrocardiographic interpretation},
author={Breen C, Zhu T, Bond R, Finlay D & Clifford G},
journal={Journal of Electrocardiology},
volume={49},
number={3},
pages={454-461},
year = "2016"
}
Evaluation of the fetal QT interval using non-invasive fetal ECG technology
Behar J, Zhu T, Oster J, Niksch A, Mah DY et al. (2016), Physiological Measurement, 37, 1392-1403
BibTeX
@article{evaluationofthe-2016/,
title={Evaluation of the fetal QT interval using non-invasive fetal ECG technology},
author={Behar J, Zhu T, Oster J, Niksch A, Mah DY et al.},
journal={Physiological Measurement},
volume={37},
number={9},
pages={1392-1403},
year = "2016"
}
Automated ECG Ventricular Beat Detection with Switching Kalman Filters
Oster J & Tarassenko L (2016), 2016 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 43, 43, 37-40
BibTeX
@inproceedings{automatedecgven-2016/,
title={Automated ECG Ventricular Beat Detection with Switching Kalman Filters},
author={Oster J & Tarassenko L},
pages={37-40},
year = "2016"
}
Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram
Zhu T, Pimentel MAF, Clifford GD & Clifton DA (2015), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2015-November, 6138-6141
Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram
Zhu T, Pimentel MAF, Clifford GD & Clifton DA (2015), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2015-November, 6138-6141
Respiratory rate estimation during triage of children in hospitals
Shah SA, Fleming S, Thompson M & Tarassenko L (2015), Journal of Medical Engineering and Technology, 39(8), 514-524
BibTeX
@article{respiratoryrate-2015/11,
title={Respiratory rate estimation during triage of children in hospitals},
author={Shah SA, Fleming S, Thompson M & Tarassenko L},
journal={Journal of Medical Engineering and Technology},
volume={39},
pages={514-524},
publisher={Taylor and Francis},
year = "2015"
}
A user-centred home monitoring and self-management system for patients with heart failure: a multicentre cohort study.
Rahimi K, Velardo C, Triantafyllidis A, Conrad N, Shah SA et al. (2015), European heart journal. Quality of care & clinical outcomes, 1(2), 66-71
BibTeX
@article{ausercentredhom-2015/11,
title={A user-centred home monitoring and self-management system for patients with heart failure: a multicentre cohort study.},
author={Rahimi K, Velardo C, Triantafyllidis A, Conrad N, Shah SA et al.},
journal={European heart journal. Quality of care & clinical outcomes},
volume={1},
pages={66-71},
year = "2015"
}
Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study
Walker T, Kohl T, Omar S, Iqbal Z & al. E (2015), Lancet. Infectious diseases, 15(10), 1193-1202
BibTeX
@article{wholegenomesequ-2015/10,
title={Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study},
author={Walker T, Kohl T, Omar S, Iqbal Z & al. E},
journal={Lancet. Infectious diseases},
volume={15},
pages={1193-1202},
publisher={Elsevier},
year = "2015"
}
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study.
Triantafyllidis A, Velardo C, Chantler T, Shah SA, Paton C et al. (2015), International journal of medical informatics, 84(10), 743-753
BibTeX
@article{apersonalisedmo-2015/10,
title={A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study.},
author={Triantafyllidis A, Velardo C, Chantler T, Shah SA, Paton C et al.},
journal={International journal of medical informatics},
volume={84},
pages={743-753},
year = "2015"
}
The relationship between symptoms and blood pressure during maintenance hemodialysis.
Meredith DJ, Pugh CW, Sutherland S, Tarassenko L & Birks J (2015), Hemodialysis international. International Symposium on Home Hemodialysis, 19(4), 543-552
BibTeX
@article{therelationship-2015/10,
title={The relationship between symptoms and blood pressure during maintenance hemodialysis.},
author={Meredith DJ, Pugh CW, Sutherland S, Tarassenko L & Birks J},
journal={Hemodialysis international. International Symposium on Home Hemodialysis},
volume={19},
pages={543-552},
year = "2015"
}
Non-contact measurement of oxygen saturation with an RGB camera.
Guazzi AR, Villarroel M, Jorge J, Daly J, Frise MC et al. (2015), Biomedical optics express, 6(9), 3320-3338
Health informatics via machine learning for the clinical management of patients.
Clifton DA, Niehaus KE, Charlton P & Colopy GW (2015), Yearbook of Medical Informatics, 10(1), 38-43
BibTeX
@article{healthinformati-2015/8,
title={Health informatics via machine learning for the clinical management of patients.},
author={Clifton DA, Niehaus KE, Charlton P & Colopy GW},
journal={Yearbook of Medical Informatics},
volume={10},
pages={38-43},
publisher={Thieme Publishing},
year = "2015"
}
Phenotypic characterisation of Crohn's disease severity.
Niehaus KE, Uhlig HH & Clifton DA (2015), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2015, 7023-7026
Fusing continuous-valued medical labels using a Bayesian model
Zhu T, Dunkley N, Behar J, Clifton DA & Clifford GD (2015), Annals of Biomedical Engineering, 43(12), 2892-2902
Fusing continuous-valued medical labels using a Bayesian Model
Zhu T, Dunkley N, Behar J, Clifton D & Clifford GD (2015), Annals of Biomedical Engineering, 43(12), 2892-2902
Fusing continuous-valued medical labels using a Bayesian Model
Zhu T, Dunkley N, Behar J, Clifton D & Clifford GD (2015), Annals of Biomedical Engineering, 43(12), 2892-2902
Fusing continuous-valued medical labels using a Bayesian model
Zhu T, Dunkley N, Behar J, Clifton DA & Clifford GD (2015), Annals of Biomedical Engineering, 43(12), 2892-2902
Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study.
Hardinge M, Rutter H, Velardo C, Shah SA, Williams V et al. (2015), BMC medical informatics and decision making, 15, 46
BibTeX
@article{usingamobilehea-2015/6,
title={Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study.},
author={Hardinge M, Rutter H, Velardo C, Shah SA, Williams V et al.},
journal={BMC medical informatics and decision making},
volume={15},
pages={46},
year = "2015"
}
Using a mobile health application to support self-management in chronic obstructive pulmonary disease: A six-month cohort study eHealth/ telehealth/ mobile health systems, 'AC-63541e8b0e2a0d7170bcd513bb89d0cf
Hardinge M, Rutter H, Velardo C, Shah SA, Williams V et al. (2015), BMC Medical Informatics and Decision Making(1)
BibTeX
@article{usingamobilehea-2015/6,
title={Using a mobile health application to support self-management in chronic obstructive pulmonary disease: A six-month cohort study eHealth/ telehealth/ mobile health systems, 'AC-63541e8b0e2a0d7170bcd513bb89d0cf},
author={Hardinge M, Rutter H, Velardo C, Shah SA, Williams V et al.},
journal={BMC Medical Informatics and Decision Making},
year = "2015"
}
Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring.
Orphanidou C, Bonnici T, Charlton P, Clifton D, Vallance D et al. (2015), IEEE journal of biomedical and health informatics, 19(3), 832-838
BibTeX
@article{signalqualityin-2015/5,
title={Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring.},
author={Orphanidou C, Bonnici T, Charlton P, Clifton D, Vallance D et al.},
journal={IEEE journal of biomedical and health informatics},
volume={19},
pages={832-838},
year = "2015"
}
Use of wearable monitoring devices to change health behavior.
Farmer A & Tarassenko L (2015), JAMA, 313(18), 1864-1865
Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring.
Orphanidou C, Bonnici T, Charlton P, Clifton D, Vallance D et al. (2015), IEEE journal of biomedical and health informatics, 19(3), 832-838
BibTeX
@article{signalqualityin-2015/5,
title={Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring.},
author={Orphanidou C, Bonnici T, Charlton P, Clifton D, Vallance D et al.},
journal={IEEE journal of biomedical and health informatics},
volume={19},
pages={832-838},
year = "2015"
}
ASSOCIATION OF BLOOD PRESSURE AND SYMPTOMS WITH END ORGAN ISCHAEMIA DURING HAEMODIALYSIS
MacEwen C, Pugh C, Tarassenko L & Sutherland S (2015), NEPHROLOGY DIALYSIS TRANSPLANTATION, 30
BibTeX
@inproceedings{associationofbl-2015/5,
title={ASSOCIATION OF BLOOD PRESSURE AND SYMPTOMS WITH END ORGAN ISCHAEMIA DURING HAEMODIALYSIS},
author={MacEwen C, Pugh C, Tarassenko L & Sutherland S},
year = "2015"
}
Smart handpumps: a preliminary data analysis
Colchester F, Greeff H, Thomson P, Hope R & Clifton D (2015), Appropriate Healthcare Technologies for Low Resource Settings (AHT 2014), 2014(CP632), 1-4
Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study.
Raghu A, Praveen D, Peiris D, Tarassenko L & Clifford G (2015), BMC medical informatics and decision making, 15, 36
BibTeX
@article{engineeringamob-2015/4,
title={Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study.},
author={Raghu A, Praveen D, Peiris D, Tarassenko L & Clifford G},
journal={BMC medical informatics and decision making},
volume={15},
pages={36},
year = "2015"
}
Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study
Raghu A, Praveen D, Praveen D, Peiris D, Peiris D et al. (2015), BMC Medical Informatics and Decision Making
BibTeX
@article{engineeringamob-2015/4,
title={Engineering a mobile health tool for resource-poor settings to assess and manage cardiovascular disease risk: SMARThealth study},
author={Raghu A, Praveen D, Praveen D, Peiris D, Peiris D et al.},
journal={BMC Medical Informatics and Decision Making},
year = "2015"
}
GDm-health: development of a real-time smartphone solution for the management of women with gestational diabetes mellitus (GDM)
Hirst JE, Mackillop LH, Loerup L, Farmer AJ, Kevat DA et al. (2015), BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 122, 403-403
BibTeX
@article{gdmhealthdevelo-2015/4,
title={GDm-health: development of a real-time smartphone solution for the management of women with gestational diabetes mellitus (GDM)},
author={Hirst JE, Mackillop LH, Loerup L, Farmer AJ, Kevat DA et al.},
journal={BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY},
volume={122},
pages={403-403},
year = "2015"
}
Centrally Observed Home Telemetric Monitoring of Blood Pressure to Manage Intensive Treatment (COMMIT) Study: Medication changes and control of BP
Lovett N, Lyons SM, James BD, Wilson M, Cuthbertson FC et al. (2015), INTERNATIONAL JOURNAL OF STROKE, 10, 104-104
BibTeX
@article{centrallyobserv-2015/4,
title={Centrally Observed Home Telemetric Monitoring of Blood Pressure to Manage Intensive Treatment (COMMIT) Study: Medication changes and control of BP},
author={Lovett N, Lyons SM, James BD, Wilson M, Cuthbertson FC et al.},
journal={INTERNATIONAL JOURNAL OF STROKE},
volume={10},
pages={104-104},
year = "2015"
}
Centrally Observed Home Telemetric Monitoring of Blood Pressure to Manage Intensive Treatment (COMMIT) Study: Acceptability to patients
Lovett N, Wilson M, Cuthbertson FC, Silver LE, Welch SJ et al. (2015), INTERNATIONAL JOURNAL OF STROKE, 10, 357-357
BibTeX
@article{centrallyobserv-2015/4,
title={Centrally Observed Home Telemetric Monitoring of Blood Pressure to Manage Intensive Treatment (COMMIT) Study: Acceptability to patients},
author={Lovett N, Wilson M, Cuthbertson FC, Silver LE, Welch SJ et al.},
journal={INTERNATIONAL JOURNAL OF STROKE},
volume={10},
pages={357-357},
year = "2015"
}
Centrally Observed home telemetric Monitoring of blood pressure to Manage Intensive Treatment (COMMIT) study: Rates and risk factors for masked hypertension
Lovett N, Wilson M, Silver LE, Welch SJ, Webb AWR et al. (2015), INTERNATIONAL JOURNAL OF STROKE, 10, 47-47
BibTeX
@article{centrallyobserv-2015/4,
title={Centrally Observed home telemetric Monitoring of blood pressure to Manage Intensive Treatment (COMMIT) study: Rates and risk factors for masked hypertension},
author={Lovett N, Wilson M, Silver LE, Welch SJ, Webb AWR et al.},
journal={INTERNATIONAL JOURNAL OF STROKE},
volume={10},
pages={47-47},
year = "2015"
}
Optimal wavelength combinations for near-infrared spectroscopic monitoring of changes in brain tissue hemoglobin and cytochrome c oxidase concentrations.
Arifler D, Zhu T, Madaan S & Tachtsidis I (2015), Biomedical optics express, 6(3), 933-947
BibTeX
@article{optimalwaveleng-2015/3,
title={Optimal wavelength combinations for near-infrared spectroscopic monitoring of changes in brain tissue hemoglobin and cytochrome c oxidase concentrations.},
author={Arifler D, Zhu T, Madaan S & Tachtsidis I},
journal={Biomedical optics express},
volume={6},
pages={933-947},
year = "2015"
}
Fusing Continuous-valued Medical Labels using a Bayesian Model
Zhu T, Dunkley N, Behar J, Clifton DA & Clifford GD (2015)
BibTeX
@misc{fusingcontinuou-2015/3,
title={Fusing Continuous-valued Medical Labels using a Bayesian Model},
author={Zhu T, Dunkley N, Behar J, Clifton DA & Clifford GD},
year = "2015"
}
A comparison of blood glucose metrics to assess the feasibility of a digital health system for management of women with gestational diabetes: the GDm-Health study
Loerup L, Gibson OJ, Hirst JE, Farmer AJ, Bartlett KJ et al. (2015), DIABETIC MEDICINE, 32, 18-19
BibTeX
@article{acomparisonofbl-2015/3,
title={A comparison of blood glucose metrics to assess the feasibility of a digital health system for management of women with gestational diabetes: the GDm-Health study},
author={Loerup L, Gibson OJ, Hirst JE, Farmer AJ, Bartlett KJ et al.},
journal={DIABETIC MEDICINE},
volume={32},
pages={18-19},
year = "2015"
}
Novel approach to documenting expert ECG interpretation using eye tracking technology: a historical and biographical representation of the late Dr Rory Childers in action.
Bond RR, Kligfield PD, Zhu T, Finlay DD, Drew B et al. (2015), Journal of electrocardiology, 48(1), 43-44
BibTeX
@article{novelapproachto-2015/1,
title={Novel approach to documenting expert ECG interpretation using eye tracking technology: a historical and biographical representation of the late Dr Rory Childers in action.},
author={Bond RR, Kligfield PD, Zhu T, Finlay DD, Drew B et al.},
journal={Journal of electrocardiology},
volume={48},
pages={43-44},
year = "2015"
}
Novel approach to documenting expert ECG interpretation using eye tracking technology: A historical and biographical representation of the late Dr Rory Childers in action
Bond RR, Kligfield PD, Zhu T, Finlay DD, Drew B et al. (2015), Journal of Electrocardiology, 48(1), 43-44
BibTeX
@article{novelapproachto-2015/1,
title={Novel approach to documenting expert ECG interpretation using eye tracking technology: A historical and biographical representation of the late Dr Rory Childers in action},
author={Bond RR, Kligfield PD, Zhu T, Finlay DD, Drew B et al.},
journal={Journal of Electrocardiology},
volume={48},
pages={43-44},
year = "2015"
}
Multitask Gaussian processes for multivariate physiological time-series analysis.
Dürichen R, Pimentel MAF, Clifton L, Schweikard A & Clifton DA (2015)
'Errors' and omissions in paper-based early warning scores: the association with changes in vital signs-a database analysis.
Clifton DA, Clifton L, Sandu DM, Smith GB, Tarassenko L et al. (2015), BMJ open, 5(7), e007376
BibTeX
@article{errorsandomissi-2015/1,
title={'Errors' and omissions in paper-based early warning scores: the association with changes in vital signs-a database analysis.},
author={Clifton DA, Clifton L, Sandu DM, Smith GB, Tarassenko L et al.},
journal={BMJ open},
volume={5},
pages={e007376},
publisher={BMJ Publishing Group},
year = "2015"
}
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data.
Ghassemi M, Pimentel MAF, Naumann T, Brennan T, Clifton DA et al. (2015), Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, 2015, 446-453
BibTeX
@inproceedings{amultivariateti-2015/1,
title={A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data.},
author={Ghassemi M, Pimentel MAF, Naumann T, Brennan T, Clifton DA et al.},
pages={446-453},
year = "2015"
}
Acceptability and user satisfaction of a smartphone-based, interactive blood glucose management system in women with gestational diabetes mellitus.
Hirst JE, Mackillop L, Loerup L, Kevat DA, Bartlett K et al. (2015), Journal of diabetes science and technology, 9(1), 111-115
BibTeX
@article{acceptabilityan-2015/1,
title={Acceptability and user satisfaction of a smartphone-based, interactive blood glucose management system in women with gestational diabetes mellitus.},
author={Hirst JE, Mackillop L, Loerup L, Kevat DA, Bartlett K et al.},
journal={Journal of diabetes science and technology},
volume={9},
pages={111-115},
year = "2015"
}
Supporting heart failure patients through personalized mobile health monitoring
Triantafyllidis A, Velardo C, Shah SA, Tarassenko L, Chantler T et al. (2015), Proceedings of the 2014 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming Healthcare Through Innovations in Mobile and Wireless Technologies", MOBIHEALTH 2014, 287-290
'Errors' and omissions in paper-based early warning scores: the association with changes in vital signs-a database analysis.
Clifton DA, Clifton L, Sandu DM, Smith GB, Tarassenko L et al. (2015), BMJ open, 5(7), e007376
BibTeX
@article{errorsandomissi-2015/1,
title={'Errors' and omissions in paper-based early warning scores: the association with changes in vital signs-a database analysis.},
author={Clifton DA, Clifton L, Sandu DM, Smith GB, Tarassenko L et al.},
journal={BMJ open},
volume={5},
pages={e007376},
publisher={BMJ Publishing Group},
year = "2015"
}
Implications of Cardiovascular Disease Risk Assessment Using the WHO/ISH Risk Prediction Charts in Rural India.
Raghu A, Praveen D, Peiris D, Tarassenko L & Clifford G (2015), PloS one, 10(8), e0133618
Probabilistic Estimation of Respiratory Rate from Wearable Sensors
Pimentel MAF, Charlton PH & Clifton DA (2015), 15, 241-262
SMARTHealth India: Development and Field Evaluation of a Mobile Clinical Decision Support System for Cardiovascular Diseases in Rural India.
Praveen D, Patel A, Raghu A, Clifford GD, Maulik PK et al. (2014), JMIR mHealth and uHealth, 2(4), e54
BibTeX
@article{smarthealthindi-2014/12,
title={SMARTHealth India: Development and Field Evaluation of a Mobile Clinical Decision Support System for Cardiovascular Diseases in Rural India.},
author={Praveen D, Patel A, Raghu A, Clifford GD, Maulik PK et al.},
journal={JMIR mHealth and uHealth},
volume={2},
pages={e54},
year = "2014"
}
Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach.
Bond RR, Zhu T, Finlay DD, Drew B, Kligfield PD et al. (2014), Journal of electrocardiology, 47(6), 895-906
BibTeX
@article{assessingcomput-2014/11,
title={Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach.},
author={Bond RR, Zhu T, Finlay DD, Drew B, Kligfield PD et al.},
journal={Journal of electrocardiology},
volume={47},
pages={895-906},
year = "2014"
}
Brain mitochondrial oxidative metabolism during and after cerebral hypoxia-ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy.
Bainbridge A, Tachtsidis I, Faulkner SD, Price D, Zhu T et al. (2014), NeuroImage, 102 Pt 1, 173-183
BibTeX
@article{brainmitochondr-2014/11,
title={Brain mitochondrial oxidative metabolism during and after cerebral hypoxia-ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy.},
author={Bainbridge A, Tachtsidis I, Faulkner SD, Price D, Zhu T et al.},
journal={NeuroImage},
volume={102 Pt 1},
pages={173-183},
year = "2014"
}
Development of a real-time smartphone solution for the management of women with or at high risk of gestational diabetes.
Mackillop L, Loerup L, Bartlett K, Farmer A, Gibson OJ et al. (2014), Journal of diabetes science and technology, 8(6), 1105-1114
BibTeX
@article{developmentofar-2014/11,
title={Development of a real-time smartphone solution for the management of women with or at high risk of gestational diabetes.},
author={Mackillop L, Loerup L, Bartlett K, Farmer A, Gibson OJ et al.},
journal={Journal of diabetes science and technology},
volume={8},
pages={1105-1114},
year = "2014"
}
A pilot study: dose adaptation of capecitabine using mobile phone toxicity monitoring - supporting patients in their homes.
Weaver A, Love SB, Larsen M, Shanyinde M, Waters R et al. (2014), Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 22(10), 2677-2685
BibTeX
@article{apilotstudydose-2014/10,
title={A pilot study: dose adaptation of capecitabine using mobile phone toxicity monitoring - supporting patients in their homes.},
author={Weaver A, Love SB, Larsen M, Shanyinde M, Waters R et al.},
journal={Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer},
volume={22},
pages={2677-2685},
year = "2014"
}
Paper and electronic early warning scoring systems: review of 6000 patients in the emergency department
Way R, Warnes K, Yousefi S, Beer S, Santos M et al. (2014), INTERNATIONAL EMERGENCY NURSING, 22(4), 259-259
BibTeX
@article{paperandelectro-2014/10,
title={Paper and electronic early warning scoring systems: review of 6000 patients in the emergency department},
author={Way R, Warnes K, Yousefi S, Beer S, Santos M et al.},
journal={INTERNATIONAL EMERGENCY NURSING},
volume={22},
pages={259-259},
year = "2014"
}
A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes
Dürichen R, Wissel T, Ernst F, Pimentel MAF, Clifton DA et al. (2014), IEEE International Workshop on Machine Learning for Signal Processing, MLSP
Continuous non-contact vital sign monitoring in neonatal intensive care unit.
Villarroel M, Guazzi A, Jorge J, Davis S, Watkinson P et al. (2014), Healthcare technology letters, 1(3), 87-91
Post-Intensive Care Risk-adjusted Alerting and Monitoring (PICRAM) study. Phase 2 Protocol
Young D, Tarassenko L & Watkinson P (2014), Post-Intensive Care Risk-adjusted Alerting and Monitoring (PICRAM) study(Version 2.1)
BibTeX
@misc{postintensiveca-2014/9,
title={Post-Intensive Care Risk-adjusted Alerting and Monitoring (PICRAM) study. Phase 2 Protocol},
author={Young D, Tarassenko L & Watkinson P},
year = "2014"
}
Post-Intensive Care Risk-adjusted Alerting and Monitoring (PICRAM) study. Phase 1 Protocol
Young D, Tarassenko L & Watkinson P (2014), Post-Intensive Care Risk-adjusted Alerting and Monitoring (PICRAM) study(Version 1.1)
BibTeX
@misc{postintensiveca-2014/9,
title={Post-Intensive Care Risk-adjusted Alerting and Monitoring (PICRAM) study. Phase 1 Protocol},
author={Young D, Tarassenko L & Watkinson P},
year = "2014"
}
Using a mobile health application to support self-management in COPD: a qualitative study.
Williams V, Price J, Hardinge M, Tarassenko L & Farmer A (2014), The British journal of general practice : the journal of the Royal College of General Practitioners, 64(624), e392-e400
BibTeX
@article{usingamobilehea-2014/7,
title={Using a mobile health application to support self-management in COPD: a qualitative study.},
author={Williams V, Price J, Hardinge M, Tarassenko L & Farmer A},
journal={The British journal of general practice : the journal of the Royal College of General Practitioners},
volume={64},
pages={e392-e400},
year = "2014"
}
A review of novelty detection
Pimentel MAF, Clifton DA, Clifton L & Tarassenko L (2014), Signal Processing, 99, 215-249
Probabilistic novelty detection with support vector machines
Clifton L, Clifton DA, Zhang Y, Watkinson P, Tarassenko L et al. (2014), IEEE Transactions on Reliability, 63(2), 455-467
BibTeX
@article{probabilisticno-2014/6,
title={Probabilistic novelty detection with support vector machines},
author={Clifton L, Clifton DA, Zhang Y, Watkinson P, Tarassenko L et al.},
journal={IEEE Transactions on Reliability},
volume={63},
pages={455-467},
publisher={Institute of Electrical and Electronics Engineers},
year = "2014"
}
Probabilistic novelty detection with support vector machines
Clifton L, Clifton DA, Zhang Y, Watkinson P, Tarassenko L et al. (2014), IEEE Transactions on Reliability, 63(2), 455-467
BibTeX
@article{probabilisticno-2014/6,
title={Probabilistic novelty detection with support vector machines},
author={Clifton L, Clifton DA, Zhang Y, Watkinson P, Tarassenko L et al.},
journal={IEEE Transactions on Reliability},
volume={63},
pages={455-467},
publisher={Institute of Electrical and Electronics Engineers},
year = "2014"
}
Non-contact video-based vital sign monitoring using ambient light and auto-regressive models.
Tarassenko L, Villarroel M, Guazzi A, Jorge J, Clifton DA et al. (2014), Physiological measurement, 35(5), 807-831
BibTeX
@article{noncontactvideo-2014/5,
title={Non-contact video-based vital sign monitoring using ambient light and auto-regressive models.},
author={Tarassenko L, Villarroel M, Guazzi A, Jorge J, Clifton DA et al.},
journal={Physiological measurement},
volume={35},
pages={807-831},
year = "2014"
}
Crowd-sourced annotation of ecg signals using contextual information.
Zhu T, Johnson AEW, Behar J & Clifford GD (2014), Annals of biomedical engineering, 42(4), 871-884
Non-contact video-based vital sign monitoring using ambient light and auto-regressive models.
Tarassenko L, Villarroel M, Guazzi A, Jorge J, Clifton D et al. (2014), Physiological measurement, 35(5), 807-831
BibTeX
@article{noncontactvideo-2014/3,
title={Non-contact video-based vital sign monitoring using ambient light and auto-regressive models.},
author={Tarassenko L, Villarroel M, Guazzi A, Jorge J, Clifton D et al.},
journal={Physiological measurement},
volume={35},
pages={807-831},
publisher={IOP Publishing},
year = "2014"
}
GDm-Health: a pilot study examining acceptability of mobile phone assisted remote blood glucose monitoring for women with gestational diabetes
Loerup L, Hirst JE, MacKillop LH, Farmer A, Kevat DA et al. (2014), DIABETIC MEDICINE, 31, 147-147
BibTeX
@article{gdmhealthapilot-2014/3,
title={GDm-Health: a pilot study examining acceptability of mobile phone assisted remote blood glucose monitoring for women with gestational diabetes},
author={Loerup L, Hirst JE, MacKillop LH, Farmer A, Kevat DA et al.},
journal={DIABETIC MEDICINE},
volume={31},
pages={147-147},
year = "2014"
}
GDm-Health: A Pilot Study Examining Acceptability of Mobile Phone Assisted Remote Blood Glucose Monitoring for Women with Gestational Diabetes Mellitus
Hirst JE, Mackillop L, Loerup L, Gibson OJ, Farmer AJ et al. (2014), REPRODUCTIVE SCIENCES, 21(3), 252A-253A
BibTeX
@article{gdmhealthapilot-2014/3,
title={GDm-Health: A Pilot Study Examining Acceptability of Mobile Phone Assisted Remote Blood Glucose Monitoring for Women with Gestational Diabetes Mellitus},
author={Hirst JE, Mackillop L, Loerup L, Gibson OJ, Farmer AJ et al.},
journal={REPRODUCTIVE SCIENCES},
volume={21},
pages={252A-253A},
year = "2014"
}
GDm-Health: a pilot study demonstrating the feasibility of mobile phone assisted treatment advice and medication adjustment for women with gestational diabetes
Loerup L, Gibson OJ, Hirst JE, Farmer AJ, Bartlett KJ et al. (2014), DIABETIC MEDICINE, 31, 148-149
BibTeX
@article{gdmhealthapilot-2014/3,
title={GDm-Health: a pilot study demonstrating the feasibility of mobile phone assisted treatment advice and medication adjustment for women with gestational diabetes},
author={Loerup L, Gibson OJ, Hirst JE, Farmer AJ, Bartlett KJ et al.},
journal={DIABETIC MEDICINE},
volume={31},
pages={148-149},
year = "2014"
}
Crowd-sourced annotation of ECG signals using contextual information
Zhu T, Johnson AEW, Behar J & Clifford GD (2014), Annals of Biomedical Engineering, 42(4), 871-884
Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: An objective quantitative approach
Bond RR, Zhu T, Finlay DD, Drew B, Kligfield PD et al. (2014), Journal of Electrocardiology, 47(6), 895-906
BibTeX
@article{assessingcomput-2014/1,
title={Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: An objective quantitative approach},
author={Bond RR, Zhu T, Finlay DD, Drew B, Kligfield PD et al.},
journal={Journal of Electrocardiology},
volume={47},
pages={895-906},
year = "2014"
}
An intelligent cardiac health monitoring and review system
Zhu T, Osipov M, Papastylianou T, Oster J, Clifton DA et al. (2014), IET Conference Publications, 2014(CP632)
BibTeX
@inproceedings{anintelligentca-2014/1,
title={An intelligent cardiac health monitoring and review system},
author={Zhu T, Osipov M, Papastylianou T, Oster J, Clifton DA et al.},
year = "2014"
}
Evaluation of the fetal QT interval using non-invasive fetal ECG technology
Behar J, Wolfberg A, Zhu T, Oster J, Niksch A et al. (2014), AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 210(1), S283-S284
Multi-task Gaussian process models for biomedical applications
Durichen R, Pimentel MAF, Clifton L, Schweikard A & Clifton DA (2014), 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014, 492-495
A $5 smart blood pressure system
Pimentel MAF, Santos MD, Maraci MA, Arteta C, Domingos JS et al. (2014), IET Conference Publications, 2014(CP632)
BibTeX
@inproceedings{asmartbloodpres-2014/1,
title={A $5 smart blood pressure system},
author={Pimentel MAF, Santos MD, Maraci MA, Arteta C, Domingos JS et al.},
year = "2014"
}
An intelligent cardiac health monitoring and review system
Zhu T, Osipov M, Papastylianou T, Oster J, Clifton DA et al. (2014), IET Conference Publications, 2014(CP632)
BibTeX
@inproceedings{anintelligentca-2014/1,
title={An intelligent cardiac health monitoring and review system},
author={Zhu T, Osipov M, Papastylianou T, Oster J, Clifton DA et al.},
year = "2014"
}
Sanitation-related disease surveillance using community health promoters and mobile phone technology
Fathima SF, Palmius N, Clifton D, Rohloff P, Clifford GD et al. (2014), IET Conference Publications, 2014(CP632)
BibTeX
@inproceedings{sanitationrelat-2014/1,
title={Sanitation-related disease surveillance using community health promoters and mobile phone technology},
author={Fathima SF, Palmius N, Clifton D, Rohloff P, Clifford GD et al.},
year = "2014"
}
Physiological trajectory of patients pre and post ICU discharge.
Johnson AEW, Burgess J, Pimentel MAF, Clifton DA, Young JD et al. (2014), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2014, 3160-3163
A Bayesian patient-based model for detecting deterioration in vital signs using manual observations
Khalid S, Clifton D & Tarassenko L (2014), Lecture Notes in Computer Science: FHIES 2013: Foundations of Health Information Engineering and Systems, 8315, 146-158
Performance of early warning scoring systems to detect patient deterioration in the emergency department
Santos MD, Clifton DA & Tarassenko L (2014), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8315, 159-169
Detecting Adolescent Psychological Pressures from Micro-Blog
Xue Y, Li Q, Jin L, Feng L, Clifton DA et al. (2014), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8423 LNCS, 83-94
Self-management support using an Internet-linked tablet computer (the EDGE platform)-based intervention in chronic obstructive pulmonary disease: protocol for the EDGE-COPD randomised controlled trial.
Farmer A, Toms C, Hardinge M, Williams V, Rutter H et al. (2014), BMJ Open, 4(1), e004437
BibTeX
@article{selfmanagements-2014/1,
title={Self-management support using an Internet-linked tablet computer (the EDGE platform)-based intervention in chronic obstructive pulmonary disease: protocol for the EDGE-COPD randomised controlled trial.},
author={Farmer A, Toms C, Hardinge M, Williams V, Rutter H et al.},
journal={BMJ Open},
volume={4},
pages={e004437},
year = "2014"
}
Efficacy of a text messaging (SMS) based intervention for adults with hypertension: protocol for the StAR (SMS Text-message Adherence suppoRt trial) randomised controlled trial.
Bobrow K, Brennan T, Springer D, Levitt NS, Rayner B et al. (2014), BMC Public Health, 14, 28
BibTeX
@article{efficacyofatext-2014/1,
title={Efficacy of a text messaging (SMS) based intervention for adults with hypertension: protocol for the StAR (SMS Text-message Adherence suppoRt trial) randomised controlled trial.},
author={Bobrow K, Brennan T, Springer D, Levitt NS, Rayner B et al.},
journal={BMC Public Health},
volume={14},
pages={28},
year = "2014"
}
A review of novelty detection
Pimentel MAF, Clifton DA, Clifton L & Tarassenko L (2014), Signal Processing, 99, 215-249
Mobile phone-based rheumatic heart disease diagnosis
Springer DB, Zühlke LJ, Mayosi BM, Tarassenko L & Clifford GD (2014), IET Conference Publications, 2014(CP632)
BibTeX
@inproceedings{mobilephonebase-2014/1,
title={Mobile phone-based rheumatic heart disease diagnosis},
author={Springer DB, Zühlke LJ, Mayosi BM, Tarassenko L & Clifford GD},
year = "2014"
}
Personalized alerts for patients with COPD using pulse oximetry and symptom scores.
Shah SA, Velardo C, Gibson OJ, Rutter H, Farmer A et al. (2014), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2014, 3164-3167
Physiological trajectory of patients pre and post ICU discharge.
Johnson AEW, Burgess J, Pimentel MAF, Clifton DA, Young JD et al. (2014), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2014, 3160-3163
A Bayesian patient-based model for detecting deterioration in vital signs using manual observations
Khalid S, Clifton D & Tarassenko L (2014), Lecture Notes in Computer Science: FHIES 2013: Foundations of Health Information Engineering and Systems, 8315, 146-158
Performance of early warning scoring systems to detect patient deterioration in the emergency department
Santos MD, Clifton DA & Tarassenko L (2014), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8315, 159-169
CrowdLabel: A Crowdsourcing Platform for Electrophysiology
Zhu T, Behar J, Papastylianou T & Clifford GD (2014), 2014 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 41, 41, 789-792
BibTeX
@inproceedings{crowdlabelacrow-2014/,
title={CrowdLabel: A Crowdsourcing Platform for Electrophysiology},
author={Zhu T, Behar J, Papastylianou T & Clifford GD},
pages={789-792},
year = "2014"
}
A Scalable mHealth System for Noncommunicable Disease Management
Clifford GD, Arteta C, Zhu T, Pimentel MAF, Santos M et al. (2014), PROCEEDINGS OF THE FOURTH IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC 2014), 41-48
BibTeX
@inproceedings{ascalablemhealt-2014/,
title={A Scalable mHealth System for Noncommunicable Disease Management},
author={Clifford GD, Arteta C, Zhu T, Pimentel MAF, Santos M et al.},
pages={41-48},
year = "2014"
}
Detecting Adolescent Psychological Pressures from Micro-Blog
Xue Y, Li Q, Jin L, Feng L, Clifton DA et al. (2014), HEALTH INFORMATION SCIENCE, HIS 2014, 8423, 83-94
BibTeX
@inproceedings{detectingadoles-2014/,
title={Detecting Adolescent Psychological Pressures from Micro-Blog},
author={Xue Y, Li Q, Jin L, Feng L, Clifton DA et al.},
pages={83-94},
year = "2014"
}
Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis
Niehaus KE, Walker TM, Crook DW, Peto TEA, Clifton DA et al. (2014), 2014 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI), 618-621
BibTeX
@inproceedings{machinelearning-2014/,
title={Machine learning for the prediction of antibacterial susceptibility in Mycobacterium tuberculosis},
author={Niehaus KE, Walker TM, Crook DW, Peto TEA, Clifton DA et al.},
pages={618-621},
year = "2014"
}
SIGNAL QUALITY CLASSIFICATION OF MOBILE PHONE-RECORDED PHONOCARDIOGRAM SIGNALS
Springer DB, Brennan T, Zuehlke LJ, Abdelrahman HY, Ntusi N et al. (2014), 2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
BibTeX
@inproceedings{signalqualitycl-2014/,
title={SIGNAL QUALITY CLASSIFICATION OF MOBILE PHONE-RECORDED PHONOCARDIOGRAM SIGNALS},
author={Springer DB, Brennan T, Zuehlke LJ, Abdelrahman HY, Ntusi N et al.},
year = "2014"
}
AUTOMATIC GENERATION OF PERSONALISED ALERT THRESHOLDS FOR PATIENTS WITH COPD
Velardo C, Shah SA, Gibson O, Rutter H, Farmer A et al. (2014), 2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 1990-1994
BibTeX
@inproceedings{automaticgenera-2014/,
title={AUTOMATIC GENERATION OF PERSONALISED ALERT THRESHOLDS FOR PATIENTS WITH COPD},
author={Velardo C, Shah SA, Gibson O, Rutter H, Farmer A et al.},
pages={1990-1994},
year = "2014"
}
Support Vector Machine Hidden Semi-Markov Model-based Heart Sound Segmentation
Springer DB, Tarassenko L & Clifford GD (2014), 2014 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 41, 41, 625-628
BibTeX
@inproceedings{supportvectorma-2014/,
title={Support Vector Machine Hidden Semi-Markov Model-based Heart Sound Segmentation},
author={Springer DB, Tarassenko L & Clifford GD},
pages={625-628},
year = "2014"
}
Robust Heart Rate Estimation from Noisy Phonocardiograms
Springer DB, Brennan T, Hitzeroth J, Mayosi BM, Tarassenko L et al. (2014), 2014 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), VOL 41, 41, 613-616
BibTeX
@inproceedings{robustheartrate-2014/,
title={Robust Heart Rate Estimation from Noisy Phonocardiograms},
author={Springer DB, Brennan T, Hitzeroth J, Mayosi BM, Tarassenko L et al.},
pages={613-616},
year = "2014"
}
Using A Mobile Health Application To Support Self-Management In COPD - Development Of Alert Thresholds Derived From Variability In Self-Reported And Measured Clinical Variables
Hardinge FM, Rutter H, Velardo C, Toms C, Williams V et al. (2014), AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 189
BibTeX
@article{usingamobilehea-2014/,
title={Using A Mobile Health Application To Support Self-Management In COPD - Development Of Alert Thresholds Derived From Variability In Self-Reported And Measured Clinical Variables},
author={Hardinge FM, Rutter H, Velardo C, Toms C, Williams V et al.},
journal={AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE},
volume={189},
year = "2014"
}
Using A Mobile Health Application To Support Self-Management In COPD - A Cohort Feasibility Study
Hardinge FM, Rutter H, Williams V, Toms C, Velardo C et al. (2014), AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 189
BibTeX
@article{usingamobilehea-2014/,
title={Using A Mobile Health Application To Support Self-Management In COPD - A Cohort Feasibility Study},
author={Hardinge FM, Rutter H, Williams V, Toms C, Velardo C et al.},
journal={AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE},
volume={189},
year = "2014"
}
Supporting Heart Failure Patients Through Personalized Mobile Health Monitoring
Triantafyllidis A, Velardo C, Shah SA, Tarassenko L, Chantler T et al. (2014), 2014 EAI 4TH INTERNATIONAL CONFERENCE ON WIRELESS MOBILE COMMUNICATION AND HEALTHCARE (MOBIHEALTH), 287-290
Telemetric Bluetooth home BP-monitoring in patients with TIA and minor stroke: feasibility and BP control
Lovett NG, Wilson M, Silver LE, Cuthbertsob FC, Glennon J et al. (2014), CEREBROVASCULAR DISEASES, 37, 89-89
BibTeX
@inproceedings{telemetricbluet-2014/,
title={Telemetric Bluetooth home BP-monitoring in patients with TIA and minor stroke: feasibility and BP control},
author={Lovett NG, Wilson M, Silver LE, Cuthbertsob FC, Glennon J et al.},
pages={89-89},
year = "2014"
}
International workshop on Artificial Intelligence in Medical Applications
Pancerz K, Piatek L, Andrushevich A, Bazan J, Cardoso J et al. (2013), 2013 Federated Conference on Computer Science and Information Systems, FedCSIS 2013, 191
BibTeX
@inproceedings{internationalwo-2013/12,
title={International workshop on Artificial Intelligence in Medical Applications},
author={Pancerz K, Piatek L, Andrushevich A, Bazan J, Cardoso J et al.},
pages={191},
year = "2013"
}
Gaussian process clustering for the functional characterisation of vital-sign trajectories
Pimentel MAF, Clifton DA & Tarassenko L (2013), IEEE International Workshop on Machine Learning for Signal Processing, MLSP
Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors.
Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L (2013), IEEE Journal of Biomedical and Health Informatics, 18(3), 722-730
BibTeX
@article{predictivemonit-2013/11,
title={Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors.},
author={Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={18},
pages={722-730},
publisher={Institute of Electrical and Electronics Engineers},
year = "2013"
}
Identification of missed hypertension and hypertensive arteriopathy with home versus ambulatory blood pressure measurement in patients with tia or minor stroke.
Webb A, Li L, Simoni M, Wilson M, Paul N et al. (2013), J Neurol Neurosurg Psychiatry, 84(11), e2
BibTeX
@article{identificationo-2013/11,
title={Identification of missed hypertension and hypertensive arteriopathy with home versus ambulatory blood pressure measurement in patients with tia or minor stroke.},
author={Webb A, Li L, Simoni M, Wilson M, Paul N et al.},
journal={J Neurol Neurosurg Psychiatry},
volume={84},
pages={e2},
year = "2013"
}
Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors.
Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L (2013), IEEE Journal of Biomedical and Health Informatics, 18(3), 722-730
BibTeX
@article{predictivemonit-2013/11,
title={Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors.},
author={Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={18},
pages={722-730},
publisher={Institute of Electrical and Electronics Engineers},
year = "2013"
}
Assessment of lung function using a non-invasive oscillating gas-forcing technique.
Clifton L, Clifton DA, Hahn CEW & Farmery AD (2013), Respir Physiol Neurobiol, 189(1), 174-182
Towards a micro-blog platform for sensing and easing adolescent psychological pressures
Xue Y, Clifford GD, Li Q, Clifton DA & Feng L (2013), UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing, 215-218
Probabilistic estimation of respiratory rate using Gaussian processes
Pimentel MAF, Clifton DA, Clifton L & Tarassenko L (2013), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2902-2905
GDm-Health: telehealth for remote monitoring and treatment of gestational diabetes
Loerup L, Gibson OJ, Hirst JE, Farmer AJ, Bartlett K et al. (2013), DIABETOLOGIA, 56, S506-S507
BibTeX
@inproceedings{gdmhealthtelehe-2013/9,
title={GDm-Health: telehealth for remote monitoring and treatment of gestational diabetes},
author={Loerup L, Gibson OJ, Hirst JE, Farmer AJ, Bartlett K et al.},
pages={S506-S507},
year = "2013"
}
Modelling physiological deterioration in post-operative patient vital-sign data.
Pimentel MAF, Clifton DA, Clifton L, Watkinson PJ & Tarassenko L (2013), Med Biol Eng Comput, 51(8), 869-877
Modelling physiological deterioration in post-operative patient vital-sign data.
Pimentel MAF, Clifton DA, Clifton L, Watkinson PJ & Tarassenko L (2013), Med Biol Eng Comput, 51(8), 869-877
Extending the generalised Pareto distribution for novelty detection in high-dimensional spaces
Clifton D, Clifton L, Hugueny S & Tarassenko L (2013), Journal of signal processing systems, 74(3), 323-339
BibTeX
@article{extendingthegen-2013/8,
title={Extending the generalised Pareto distribution for novelty detection in high-dimensional spaces},
author={Clifton D, Clifton L, Hugueny S & Tarassenko L},
journal={Journal of signal processing systems},
volume={74},
pages={323-339},
publisher={Springer US},
year = "2013"
}
A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department
Clifton DA, Wong D, Clifton L, Wilson S, Way R et al. (2013), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 17(4), 835-842
BibTeX
@article{alargescaleclin-2013/7,
title={A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department},
author={Clifton DA, Wong D, Clifton L, Wilson S, Way R et al.},
journal={IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS},
volume={17},
pages={835-842},
year = "2013"
}
A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department
Clifton DA, Wong D, Clifton L, Wilson S, Way R et al. (2013), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 17(4), 835-842
BibTeX
@article{alargescaleclin-2013/7,
title={A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department},
author={Clifton DA, Wong D, Clifton L, Wilson S, Way R et al.},
journal={IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS},
volume={17},
pages={835-842},
year = "2013"
}
Long-term enhancement of brain function and cognition using cognitive training and brain stimulation.
Snowball A, Tachtsidis I, Popescu T, Thompson J, Delazer M et al. (2013), Current biology : CB, 23(11), 987-992
BibTeX
@article{longtermenhance-2013/6,
title={Long-term enhancement of brain function and cognition using cognitive training and brain stimulation.},
author={Snowball A, Tachtsidis I, Popescu T, Thompson J, Delazer M et al.},
journal={Current biology : CB},
volume={23},
pages={987-992},
year = "2013"
}
The digital patient.
Bonnici T, Tarassenko L, Clifton DA & Watkinson P (2013), Clin Med (Lond), 13(3), 252-257
The digital patient
Bonnici T, Tarassenko L, Clifton DA & Watkinson P (2013), Clinical Medicine, Journal of the Royal College of Physicians of London, 13(3), 252-257
The digital patient.
Bonnici T, Tarassenko L, Clifton DA & Watkinson P (2013), Clin Med (Lond), 13(3), 252-257
The digital patient
Bonnici T, Tarassenko L, Clifton DA & Watkinson P (2013), Clinical Medicine, Journal of the Royal College of Physicians of London, 13(3), 252-257
Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and hypotension.
Mayaud L, Lai PS, Clifford GD, Tarassenko L, Celi LA et al. (2013), Crit Care Med, 41(4), 954-962
BibTeX
@article{dynamicdataduri-2013/4,
title={Dynamic data during hypotensive episode improves mortality predictions among patients with sepsis and hypotension.},
author={Mayaud L, Lai PS, Clifford GD, Tarassenko L, Celi LA et al.},
journal={Crit Care Med},
volume={41},
pages={954-962},
year = "2013"
}
Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013.
Silva I, Behar J, Sameni R, Zhu T, Oster J et al. (2013), Computing in cardiology, 40, 149-152
BibTeX
@inproceedings{noninvasivefeta-2013/3,
title={Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013.},
author={Silva I, Behar J, Sameni R, Zhu T, Oster J et al.},
pages={149-152},
year = "2013"
}
Track and trigger in an emergency department: An observational evaluation study
Wilson SJ, Wong D, Clifton D, Fleming S, Way R et al. (2013), Emergency Medicine Journal, 30(3), 186-191
Track and trigger in an emergency department: an observational evaluation study.
Wilson SJ, Wong D, Clifton D, Fleming S, Way R et al. (2013), Emerg Med J, 30(3), 186-191
Track and trigger in an emergency department: An observational evaluation study
Wilson SJ, Wong D, Clifton D, Fleming S, Way R et al. (2013), Emergency Medicine Journal, 30(3), 186-191
An extreme function theory for novelty detection
Clifton DA, Clifton L, Hugueny S, Wong D & Tarassenko L (2013), IEEE Journal on Selected Topics in Signal Processing, 7(1), 28-37
An extreme function theory for novelty detection
Clifton DA, Clifton L, Hugueny S, Wong D & Tarassenko L (2013), IEEE Journal on Selected Topics in Signal Processing, 7(1), 28-37
Gaussian processes for personalized e-health monitoring with wearable sensors
Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L (2013), IEEE Transactions on Biomedical Engineering, 60(1), 193-197
BibTeX
@article{gaussianprocess-2013/1,
title={Gaussian processes for personalized e-health monitoring with wearable sensors},
author={Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L},
journal={IEEE Transactions on Biomedical Engineering},
volume={60},
pages={193-197},
year = "2013"
}
A Non-Invasive Method for Estimating Cardiopulmonary Variables Using Breath-by-Breath Injection of Two Tracer Gases.
Clifton L, Clifton D, Hahn CE & Farmeryy AD (2013), IEEE journal of translational engineering in health and medicine
BibTeX
@article{anoninvasivemet-2013/1,
title={A Non-Invasive Method for Estimating Cardiopulmonary Variables Using Breath-by-Breath Injection of Two Tracer Gases.},
author={Clifton L, Clifton D, Hahn CE & Farmeryy AD},
journal={IEEE journal of translational engineering in health and medicine},
year = "2013"
}
Data fusion for estimating respiratory rate from a single-lead ECG
Orphanidou C, Fleming S, Shah SA & Tarassenko L (2013), Biomedical Signal Processing and Control, 8(1), 98-105
Gaussian processes for personalized e-health monitoring with wearable sensors
Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L (2013), IEEE Transactions on Biomedical Engineering, 60(1), 193-197
BibTeX
@article{gaussianprocess-2013/1,
title={Gaussian processes for personalized e-health monitoring with wearable sensors},
author={Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L},
journal={IEEE Transactions on Biomedical Engineering},
volume={60},
pages={193-197},
year = "2013"
}
Stepwise self-titration of oral glucose-lowering medication using a mobile telephone-based telehealth platform in type 2 diabetes: a feasibility trial in primary care.
Nagrebetsky A, Larsen M, Craven A, Turner J, McRobert N et al. (2013), J Diabetes Sci Technol, 7(1), 123-134
BibTeX
@article{stepwiseselftit-2013/1,
title={Stepwise self-titration of oral glucose-lowering medication using a mobile telephone-based telehealth platform in type 2 diabetes: a feasibility trial in primary care.},
author={Nagrebetsky A, Larsen M, Craven A, Turner J, McRobert N et al.},
journal={J Diabetes Sci Technol},
volume={7},
pages={123-134},
year = "2013"
}
Probabilistic estimation of respiratory rate using gaussian processes
Pimentel MAF, Clifton DA, Clifton L & Tarassenko L (2013), 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2902-2905
Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation
Zhu T, Johnson AEW, Behar J, Clifford GD & IEEE (2013), 2013 COMPUTING IN CARDIOLOGY CONFERENCE (CINC), 40, 659-662
BibTeX
@inproceedings{bayesianvotingo-2013/,
title={Bayesian Voting of Multiple Annotators for Improved QT Interval Estimation},
author={Zhu T, Johnson AEW, Behar J, Clifford GD & IEEE },
pages={659-662},
year = "2013"
}
Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces
Clifton DA, Clifton L, Hugueny S & Tarassenko L (2013), Journal of Signal Processing Systems, 1-17
M-health for long-term management of COPD
Tarassenko L, Velardo C, Shah A, Gibson O, Clifford G et al. (2013), INTERNATIONAL JOURNAL OF INTEGRATED CARE, 13
BibTeX
@article{mhealthforlongt-2013/,
title={M-health for long-term management of COPD},
author={Tarassenko L, Velardo C, Shah A, Gibson O, Clifford G et al.},
journal={INTERNATIONAL JOURNAL OF INTEGRATED CARE},
volume={13},
year = "2013"
}
Exploring patients' perspectives of an mHealth application: a qualitative study as part of EDGE COPD
Williams V, Rutter H, Christy T, Tarassenko L & Farmer A (2013), INTERNATIONAL JOURNAL OF INTEGRATED CARE, 13
BibTeX
@article{exploringpatien-2013/,
title={Exploring patients' perspectives of an mHealth application: a qualitative study as part of EDGE COPD},
author={Williams V, Rutter H, Christy T, Tarassenko L & Farmer A},
journal={INTERNATIONAL JOURNAL OF INTEGRATED CARE},
volume={13},
year = "2013"
}
Identification of missed hypertension and hypertensive arteriopathy with home versus ambulatory blood pressure measurement in patients with TIA or minor stroke
Webb AJS, Li L, Simoni M, Wilson M, Paul NLM et al. (2013), CEREBROVASCULAR DISEASES, 35, 124-124
BibTeX
@article{identificationo-2013/,
title={Identification of missed hypertension and hypertensive arteriopathy with home versus ambulatory blood pressure measurement in patients with TIA or minor stroke},
author={Webb AJS, Li L, Simoni M, Wilson M, Paul NLM et al.},
journal={CEREBROVASCULAR DISEASES},
volume={35},
pages={124-124},
year = "2013"
}
The SMS-Text Adherence Support (StAR) Study - Hardware and Software Infrastructure
Springer DB, Bobrow KL, Levitt N, Farmer A, Tarassenko L et al. (2013), PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATIONS TECHNOLOGIES AND DEVELOPMENT, VOL 2, 147-150
BibTeX
@article{thesmstextadher-2013/,
title={The SMS-Text Adherence Support (StAR) Study - Hardware and Software Infrastructure},
author={Springer DB, Bobrow KL, Levitt N, Farmer A, Tarassenko L et al.},
journal={PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATIONS TECHNOLOGIES AND DEVELOPMENT, VOL 2},
pages={147-150},
year = "2013"
}
GAUSSIAN PROCESS CLUSTERING FOR THE FUNCTIONAL CHARACTERISATION OF VITAL-SIGN TRAJECTORIES
Pimentel MAF, Clifton DA & Tarassenko L (2013), 2013 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)
A two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement
Khalid S, Clifton DA, Clifton L & Tarassenko L (2012), IEEE Transactions on Information Technology in Biomedicine, 16(6), 1231-1238
BibTeX
@article{atwoclassapproa-2012/12,
title={A two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement},
author={Khalid S, Clifton DA, Clifton L & Tarassenko L},
journal={IEEE Transactions on Information Technology in Biomedicine},
volume={16},
pages={1231-1238},
year = "2012"
}
Gaussian process regression in vital-sign early warning systems
Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L (2012), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 6161-6164
Probabilistic detection of vital sign abnormality with Gaussian process regression
Wong D, Clifton DA & Tarassenko L (2012), IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012, 187-192
BibTeX
@article{probabilisticde-2012/12,
title={Probabilistic detection of vital sign abnormality with Gaussian process regression},
author={Wong D, Clifton DA & Tarassenko L},
journal={IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012},
pages={187-192},
year = "2012"
}
A two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement
Khalid S, Clifton DA, Clifton L & Tarassenko L (2012), IEEE Transactions on Information Technology in Biomedicine, 16(6), 1231-1238
BibTeX
@article{atwoclassapproa-2012/12,
title={A two-class approach to the detection of physiological deterioration in patient vital signs, with clinical label refinement},
author={Khalid S, Clifton DA, Clifton L & Tarassenko L},
journal={IEEE Transactions on Information Technology in Biomedicine},
volume={16},
pages={1231-1238},
year = "2012"
}
Gaussian process regression in vital-sign early warning systems
Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ & Tarassenko L (2012), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 6161-6164
Probabilistic detection of vital sign abnormality with Gaussian process regression
Wong D, Clifton DA & Tarassenko L (2012), IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012, 187-192
BibTeX
@article{probabilisticde-2012/12,
title={Probabilistic detection of vital sign abnormality with Gaussian process regression},
author={Wong D, Clifton DA & Tarassenko L},
journal={IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012},
pages={187-192},
year = "2012"
}
A method for assessing the reliability of heart rates obtained from ambulatory ECG
Orphanidou C, Bonnici T, Vallance D, Darrell A, Charlton P et al. (2012), IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012, 193-196
BibTeX
@article{amethodforasses-2012/12,
title={A method for assessing the reliability of heart rates obtained from ambulatory ECG},
author={Orphanidou C, Bonnici T, Vallance D, Darrell A, Charlton P et al.},
journal={IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012},
pages={193-196},
year = "2012"
}
"Stroke Nav": a wireless data collection and review system to support stroke care delivery.
Gibson OJ, Balami JS, Pope GA, Tarassenko L & Reckless IP (2012), Comput Methods Programs Biomed, 108(1), 338-345
"Stroke Nav": A wireless data collection and review system to support stroke care delivery
Gibson OJ, Balami JS, Pope GA, Tarassenko L & Reckless IP (2012), Computer Methods and Programs in Biomedicine, 108(1), 338-345
BibTeX
@article{strokenavawirel-2012/10,
title={"Stroke Nav": A wireless data collection and review system to support stroke care delivery},
author={Gibson OJ, Balami JS, Pope GA, Tarassenko L & Reckless IP},
journal={Computer Methods and Programs in Biomedicine},
volume={108},
pages={338-345},
year = "2012"
}
Machine learning and software engineering in health informatics
Clifton DA, Gibbons J, Davies J & Tarassenko L (2012), 2012 1st International Workshop on Realizing AI Synergies in Software Engineering, RAISE 2012 - Proceedings, 37-41
BibTeX
@article{machinelearning-2012/7,
title={Machine learning and software engineering in health informatics},
author={Clifton DA, Gibbons J, Davies J & Tarassenko L},
journal={2012 1st International Workshop on Realizing AI Synergies in Software Engineering, RAISE 2012 - Proceedings},
pages={37-41},
year = "2012"
}
Machine learning and software engineering in health informatics
Clifton DA, Gibbons J, Davies J & Tarassenko L (2012), 2012 1st International Workshop on Realizing AI Synergies in Software Engineering, RAISE 2012 - Proceedings, 37-41
BibTeX
@article{machinelearning-2012/7,
title={Machine learning and software engineering in health informatics},
author={Clifton DA, Gibbons J, Davies J & Tarassenko L},
journal={2012 1st International Workshop on Realizing AI Synergies in Software Engineering, RAISE 2012 - Proceedings},
pages={37-41},
year = "2012"
}
Vital-sign data fusion models for post-operative patients
Pimentel MAF, Clifton DA, Clifton L, Watkinson PJ & Tarassenko L (2012), BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, 410-413
BibTeX
@inproceedings{vitalsigndatafu-2012/6,
title={Vital-sign data fusion models for post-operative patients},
author={Pimentel MAF, Clifton DA, Clifton L, Watkinson PJ & Tarassenko L},
pages={410-413},
year = "2012"
}
Vital-sign data fusion models for post-operative patients
Pimentel MAF, Clifton D, Clifton L, Watkinson PJ & Tarassenko L (2012), Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, 1, 410-413
Testing of wearable monitors in a real-world hospital environment: What lessons can be learnt?
Bonnici T, Orphanidou C, Vallance D, Darrell A & Tarassenko L (2012), Proceedings - BSN 2012: 9th International Workshop on Wearable and Implantable Body Sensor Networks, 79-84
Current and emerging approaches to address failure-to-rescue.
Watkinson PJ & Tarassenko L (2012), Anesthesiology, 116(5), 1158-1159
Review of T-wave morphology-based biomarkers of ventricular repolarisation using the surface electrocardiogram
Brennan TP & Tarassenko L (2012), Biomedical Signal Processing and Control, 7(3), 278-284
Clinical and cost effectiveness of mobile phone supported self monitoring of asthma: multicentre randomised controlled trial
Ryan D, Price D, Musgrave SD, Malhotra S, Lee AJ et al. (2012), BMJ-BRITISH MEDICAL JOURNAL, 344
BibTeX
@article{clinicalandcost-2012/3,
title={Clinical and cost effectiveness of mobile phone supported self monitoring of asthma: multicentre randomised controlled trial},
author={Ryan D, Price D, Musgrave SD, Malhotra S, Lee AJ et al.},
journal={BMJ-BRITISH MEDICAL JOURNAL},
volume={344},
number={ARTN e1756},
year = "2012"
}
Wireless technology in disease management and medicine.
Clifford GD & Clifton D (2012), Annual review of medicine, 63, 479-492
Photoplethysmographic derivation of respiratory rate: a review of relevant physiology.
Meredith DJ, Clifton D, Charlton P, Brooks J, Pugh CW et al. (2012), Journal of medical engineering & technology, 36(1), 1-7
BibTeX
@article{photoplethysmog-2012/1,
title={Photoplethysmographic derivation of respiratory rate: a review of relevant physiology.},
author={Meredith DJ, Clifton D, Charlton P, Brooks J, Pugh CW et al.},
journal={Journal of medical engineering & technology},
volume={36},
pages={1-7},
year = "2012"
}
Depression and cancer
Couper JW, Pollard AC & Clifton DA (2012), Medical Journal of Australia, 1, 13-17
Photoplethysmographic derivation of respiratory rate: a review of relevant physiology.
Meredith DJ, Clifton D, Charlton P, Brooks J, Pugh CW et al. (2012), J Med Eng Technol, 36(1), 1-7
Gaussian process regression in vital-sign early warning systems.
Clifton L, Clifton DA, Pimentel MA, Watkinson PJ & Tarassenko L (2012), Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2012, 6161-6164
BibTeX
@article{gaussianprocess-2012/,
title={Gaussian process regression in vital-sign early warning systems.},
author={Clifton L, Clifton DA, Pimentel MA, Watkinson PJ & Tarassenko L},
journal={Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference},
volume={2012},
pages={6161-6164},
year = "2012"
}
Data fusion for estimating respiratory rate from a single-lead ECG
Orphanidou C, Fleming S, Shah SA & Tarassenko L (2012), Biomedical Signal Processing and Control
BibTeX
@article{datafusionfores-2012/,
title={Data fusion for estimating respiratory rate from a single-lead ECG},
author={Orphanidou C, Fleming S, Shah SA & Tarassenko L},
journal={Biomedical Signal Processing and Control},
year = "2012"
}
Gaussian process regression in vital-sign early warning systems.
Clifton L, Clifton DA, Pimentel MA, Watkinson PJ & Tarassenko L (2012), Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2012, 6161-6164
BibTeX
@article{gaussianprocess-2012/,
title={Gaussian process regression in vital-sign early warning systems.},
author={Clifton L, Clifton DA, Pimentel MA, Watkinson PJ & Tarassenko L},
journal={Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference},
volume={2012},
pages={6161-6164},
year = "2012"
}
Novelty Detection with Multivariate Extreme Value Statistics
Clifton DA, Hugueny S & Tarassenko L (2011), JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 65(3), 371-389
Semiconductor wireless technology for chronic disease management
Tarassenko L & Clifton DA (2011), ELECTRONICS LETTERS, 47(26), S30-S32
Identification of patient deterioration in vital-sign data using one-class support vector machines
Clifton L, Clifton DA, Watkinson PJ & Tarassenko L (2011), 2011 Federated Conference on Computer Science and Information Systems, FedCSIS 2011, 125-131
BibTeX
@inproceedings{identificationo-2011/12,
title={Identification of patient deterioration in vital-sign data using one-class support vector machines},
author={Clifton L, Clifton DA, Watkinson PJ & Tarassenko L},
pages={125-131},
year = "2011"
}
Towards assisted living via probabilistic vital-sign monitoring in the home
Clifton DA, Clifton L, Alvi M, Khalid S, Meredith D et al. (2011), IET Seminar Digest, 2011(13611)
Novelty Detection with Multivariate Extreme Value Statistics
Clifton DA, Hugueny S & Tarassenko L (2011), JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 65(3), 371-389