Peter H Charlton
TitleCited byYear
Photoplethysmographic derivation of respiratory rate: a review of relevant physiology
DJ Meredith, D Clifton, P Charlton, J Brooks, CW Pugh, L Tarassenko
Journal of medical engineering & technology 36 (1), 1-7, 2012
Signal-quality indices for the electrocardiogram and photoplethysmogram: Derivation and applications to wireless monitoring
C Orphanidou, T Bonnici, P Charlton, D Clifton, D Vallance, L Tarassenko
IEEE journal of biomedical and health informatics 19 (3), 832-838, 2014
An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram
PH Charlton, T Bonnici, L Tarassenko, DA Clifton, R Beale, PJ Watkinson
Physiological Measurement 37 (4), 610, 2016
Breathing rate estimation from the electrocardiogram and photoplethysmogram: A review
PH Charlton, DA Birrenkott, T Bonnici, MAF Pimentel, AEW Johnson, ...
IEEE Reviews in Biomedical Engineering 11, 2-20, 2018
Secondary Analysis of Electronic Health Records
Springer International Publishing, 2016
Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants
PH Charlton, T Bonnici, L Tarassenko, J Alastruey, DA Clifton, R Beale, ...
Physiological Measurement 38 (5), 669, 2017
Toward a robust estimation of respiratory rate from pulse oximeters
MAF Pimentel, AEW Johnson, PH Charlton, D Birrenkott, PJ Watkinson, ...
IEEE Transactions on Biomedical Engineering 64 (8), 1914-1923, 2016
Probabilistic Estimation of Respiratory Rate from Wearable Sensors
MAF Pimentel, PH Charlton, DA Clifton
Wearable Electronics Sensors, 241-262, 2015
A “datathon” model to support cross-disciplinary collaboration
J Aboab, LA Celi, P Charlton, M Feng, M Ghassemi, DC Marshall, ...
Science Translational Medicine 8 (333), 333ps8-333ps8, 2016
Health Informatics via Machine Learning for the Clinical Management of Patients
DA Clifton, KE Niehaus, P Charlton, GW Colopy
Yearbook of Medical Informatics 10 (1), 38, 2015
Assessing mental stress from the photoplethysmogram: a numerical study
PH Charlton, P Celka, B Farukh, P Chowienczyk, J Alastruey
Physiological Measurement 39 (5), 054001, 2018
Waveform Analysis to Estimate Respiratory Rate
PH Charlton, M Villarroel, F Salguiero
Secondary Analysis of Electronic Health Records, 377-390, 2016
Identifying Hemodynamic Determinants of Pulse Pressure: A Combined Numerical and Physiological Approach
S Vennin, Y Li, M Willemet, H Fok, H Gu, P Charlton, J Alastruey, ...
Hypertension, HYPERTENSIONAHA. 117.09706, 2017
Measurement of cardiovascular state using attractor reconstruction analysis
PH Charlton, L Camporota, J Smith, M Nandi, M Christie, PJ Aston, ...
23rd European Signal Processing Conference (EUSIPCO), 444-448, 2015
Beyond HRV: analysis of ECG signals using attractor reconstruction
JV Lyle, PH Charlton, E Bonet-Luz, G Chaffey, M Christie, M Nandi, ...
Computing 44, 1, 2017
Optimising the Windkessel model for cardiac output monitoring during changes in vascular tone
P Charlton, J Smith, L Camporota, R Beale, J Alastruey
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
Effects of Norepinephrine-Driven Change in Arterial Blood Pressure on Four Different Continuous Cardiac Output Systems in Critically Ill Patients
J Smith, M Scaramuzzi, P Charlton, J Brooks, D Arces, G Wong, ...
Intensive Care Medicine 37, S280-S280, 2011
Continuous respiratory rate monitoring to detect clinical deteriorations using wearable sensors
PH Charlton
King's College London, 2017
Continuous Physiological Monitoring of Ambulatory Patients
T Bonnici, PH Charlton, J Alastruey, L Tarassenko, P Watkinson, R Beale
MEC Annual Meeting and Bioengineering14, 2014
A method for assessing the reliability of heart rates obtained from ambulatory ECG
C Orphanidou, T Bonnici, D Vallance, A Darrell, P Charlton, L Tarassenko
2012 IEEE 12th International Conference on Bioinformatics & Bioengineering …, 2012
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Articles 1–20