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2013

Refereed papers and book chapters

Watkinson PJ, Pimentel MAF, Clifton L, Clifton DA, Bonnici T, Tarassenko L. (In preparation)
Can Physiological Recovery Patterns Following Major Surgery be Used to Improve the Performance of Early Warning Systems? A Time-varying Centile-based Approach.
British Medical Journal.
 
Pimentel MAF, Clifton DA, Clifton L, Watkinson PJ, Tarassenko L. (In preparation)
Novelty Detection using Vital-Sign Variability for Monitoring In-hospital Post-operative Patients.
Biomedical Signal Processing and Control.
 
Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ, Tarassenko L. (In review)
Predictive Monitoring of Mobile Patients by Combining Clinical Observations with Data from Wearable Sensors.
IEEE Journal of Biomedical and Health Informatics.

Pimentel MAF, Clifton DA, Clifton L, Tarassenko L. (In review)
Novelty Detection and Anomaly Detection.
Signal Processing.
 
Clifton DA, Clifton L, Sandu DM, Pimentel MAF, Watkinson PJ, Tarassenko L.  (In review)
Factors Underlying Perceived “Errors” in Paper-Based Early Warning Scores.
Resuscitation.
 
Clifton L, Clifton DA, Zhang Y, Watkinson PJ, Tarassenko L, Yin H. (In review)
Probabilistic Novelty Detection with Support Vector Machines.
IEEE Transactions on Reliability.
 
Wong D, Clifton DA, Tarassenko L. (In review)
Validation of a Gaussian Process Framework for Inference in Missing Vial-Sign Data.
IEEE Journal of Biomedical and Health Informatics
 
Orphanidou  C, Bonnici T, Charlton P, Clifton DA, Vallance D, Tarassenko L. (In review) 
Signal Quality Indices and their Application in the Use of Wearable Physiological Sensors.
IEEE Journal of Biomedical and Health Informatics.
 
Wilson S, Wong D, Pullinger R, Way R, Clifton DA, Tarassenko L. (In review)
Analysis of a Data Fusion System for Continuous Vital-Sign Monitoring in an Emergency Department.
Emergency Medicine Journal.
 
Clifton DA, Hugueny S, Clifton L, Tarassenko L.
Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces.
Journal of Signal Processing Systems, doi 10.1007/s11265-013-0835-2.
 
Clifton L, Clifton DA, Hahn CEW, Farmery AD.
Assessment of Lung Function Using a Non-invasive Oscillating Gas-Forcing Technique.
Respiratory Physiology & Neurobiology, 189(1), 2013, pp. 174-182 .
 
Pimentel MA, Clifton DA, Clifton L, Watkinson PJ, Tarassenko L.
Modelling Physiological Deterioration in Post-Operative Patient Vital-Sign Data.
Medical & Biological Engineering & Computing. 2013 Aug;51(8):869-77. doi: 10.1007/s11517-013-1059-0. PMID: 23516077.
 
Nagrebetsky A, Larsen M, Craven A, Turner J, McRobert N, Murray E, Gibson O, Neil A, Tarassenko L, Farmer A.
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.
J Diabetes Sci Technol. 2013 Jan;7(1):123-34. PMID: 23439168.
 
Clifton DA, Clifton L, Hugueny S, Wong D, Tarassenko L.
An Extreme Function Theory for Novelty Detection.
IEEE Journal of Selected Topics on Signal Processing. 2013 Feb;7(1):28–37. doi: 10.1109/JSTSP.2012.2234081.
 
Wilson S, Wong D, Clifton DA, Fleming S, Way R, Pullinger R, Tarassenko L.
Track and Trigger in an Emergency Department: an Observational Evaluation Study.
Emergency Medicine Journal. 2013 Mar;30(3):186-91. doi: 10.1136/emermed-2011-200499. Epub 2012 Mar 22. PMID: 22440880.
 
Clifton DA, Wong D, Clifton L, Pullinger R, Tarassenko L.
A Large-Scale Clinical Validation of an Integrated Monitoring System in the Emergency Department.
IEEE Transactions on Information Technology in Biomedicine. 2013 Jul;17(4):835-42. doi: 10.1109/JBHI.2012.2234130.
 
Bonnici T, Clifton DA, Watkinson PJ, Tarassenko L.
The Digital Patient.
Clinical Medicine. 2013 Jun:13(3): 252-7. doi: 10.7861/clinmedicine.13-3-252. PMID: 23760698.
 
Mayaud L, Lai PS, Clifford GD, Tarassenko L, Celi LA, Annane D. (Epub ahead of print)
Dynamic Data During Hypotensive Episode Improves Mortality Predictions Among Patients With Sepsis and Hypotension.
Crit Care Med. 2013;41(4):954-62 PMID: 23385106.
 
Clifton L, Clifton DA, Pimentel MAF, Watkinson PJ, Tarassenko L.
Gaussian processes for personalised e-health monitoring with wearable sensors
IEEE Trans Biomed Eng. 2013 Jan;60(1):193-7. doi: 10.1109/TBME.2012.2208459. PMID: 23268532.
 
Clifton L, Clifton DA, Hahn CEW, Farmery AD.
A Non-invasive Method for Estimating Cardiopulminary Variables Using Breath-by-Breath Injection of Two Tracer Gases.
IEEE Journal of Translational Engineering in Health and Medicine. 2013 July;1:1-8.
 
Orphanidou C, Fleming S, Shah SA, Tarassenko L.
Data Fusion for estimating respiratory rate from a single-lead ECG.
Biomedical Signal Processing and Control. 2013 Jan;8(1):98-105. doi: 10.1016/j.bspc.2012.06.001.

 

Conference proceedings

Pimentel, M.A.F., Clifton, D.A., Clifton, L., and Tarassenko, L.:
Modelling Patient Time-Series Data from Electronic Health Records using Gaussian Processes,
NIPS Workshop on Machine Learning for Clinical Data Analysis, Lake Tahoe, 2014, 1 – 4

Pimentel, M.A.F., Clifton, D.A., and Tarassenko, L.:
Gaussian Process Clustering for the Functional Characterisation of Vital-Sign Trajectories, IEEE Machine Learning in Signal Process, Southampton, UK, 2013, 1 – 6

Khalid, S., Clifton, D.A., and Tarassenko, L.:
A Bayesian Patient-Based model for Detecting Deterioration in Vital Signs Using Manual Observations,
Foundations of Health Information Engineering and Systems (FHIES), Macau, 2013, Lecture Notes in Computer Science (8315), Springer-Verlag, 146 – 158

Pimentel MAF, Clifton DA, Tarassenko L. (In press)
Gaussian Process Clustering for the Functional Characteristics of Vital-Sign Trajectories.
IEEE Machine Learning in Signal Process, Southampton, UK, 2013.

 
Khalid S, Clifton DA, Tarassenko L. (In press)
Patient-Based Model for Detecting Deterioration in Vital Signs using Track-and-Trigger Observations.
Foundations of Health Information Engineering and Systems (FHIES), Macau, 2013.
 
Santos M, Clifton DA, Tarassenko L. (In press)
Performance of Early Warning Scoring Systems to Detect Patient Deterioration in the Emergency Department.
Foundations of Health Information Engineering and Systems (FHIES), Macau 2013,
Lecture Notes in Computer Science (8315), Springer-Verlag, 159 – 169
 
Pimentel MAF, Clifton DA, Clifton L, Tarassenko L. (In press)
Probabilistic Estimation of Respiratory Rate using Gaussian Processes.
IEEE Engineering in Medicine and Biology Conference, Osaka, Japan, 2013, 2902 - 2905.
 
Mayaud L, Tarassenko L, Annane D, Clifford G.
Predictive Power of ECG-Derived Complexity Metrics to Estimate Severity in Severe Sepsis: Physiology and Interventions.
International Conference on Complexity in Acute Illness, Budapest, August 2013.
 
Loerup L, Gibson O, Tarassenko L, Farmer AJ, Bartlett K, MacKillop L, Levy JC.
An Innovative Mobile Phone Telehealth Intervention to Improve Resources Use in the Management of Gestational Diabetes Allows Remote Delivery of Care and is Well Received by Pregnant Woman.
Association of British Diabetologists Spring Meeting, Solihull, UK, April 2013.
 
Watkinson PJ, Pimentel MAF, Clifton DA, Clifton L, Tarassenko L.
Early Warning Scores for Monitoring Patients on Post-operative Wards.
8th International Conference on Rapid Response Systems and Medical Emergency Teams, London, UK, 2013.