Publications

This page provides details of selected publications. For a complete list of publications see my Google Scholar profile

Establishing best practices in photoplethysmography signal acquisition and processing
An editorial on whether it would be possible and beneficial to establish best practices for photoplethysmography signal acquisition and processing.
Peter Charlton, Kristjan Pilt, Panicos Kyriacou
PDF Project DOI Accepted manuscript
Establishing best practices in photoplethysmography signal acquisition and processing
Inaccuracy of pulse oximetry with dark skin pigmentation: clinical implications and need for improvement
Editorial on inaccuracies of pulse oximetry in patients with various degrees of skin pigmentation.
Panicos Kyriacou, Peter Charlton, Raghda Al-Halawani, Kirk H. Shelley
PDF Project DOI
Inaccuracy of pulse oximetry with dark skin pigmentation: clinical implications and need for improvement
Prioritising Electrocardiograms for Manual Review to Improve the Efficiency of Atrial Fibrillation Screening
Using a model to prioritise electrocardiograms for review in order to reduce the manual workload of AF screening.
Mary Adeniji, James Brimicombe, Martin Cowie, Andrew Dymond, Hannah Clair Linden, Gregory Y H Lip, Jonathan Mant, Madhumitha Pandiaraja, Kate Williams, Peter Charlton
PDF Project DOI
Wearable photoplethysmography for cardiovascular monitoring
A review of wearable photoplethysmgoraphy, considering the technology, signal processing, and clinical applications.
Peter Charlton, Panicos Kyriacou, Jonathan Mant, Vaidotas Marozas, Phil Chowienczyk, Jordi Alastruey
PDF Project Project Project Project DOI Supplementary Material
Wearable photoplethysmography for cardiovascular monitoring
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography
Sleep staging using photoplethysmography and deep learning.
Kevin Kotzen, Peter Charlton, Amir Landesberg, Joachim Behar
Submitted manuscript
Detecting heartbeats in the photoplethysmogram: benchmarking open-source algorithms
An assessment of thirteen open-source photoplethysmogram (PPG) beat detectors across five datasets.
Peter Charlton, Kevin Kotzen, Elisa Mejia-Mejia, Philip J. Aston, Karthik Budidha, Jonathan Mant, Callum Pettit, Joachim Behar, Panicos A. Kyriacou
Project
Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: A review from VascAgeNet
A review of techniques to assess vascular age from the photoplethysmogram.
Peter Charlton, Birute Paliakaite, Kristjan Pilt, Martin Bachler, Serena Zanelli, Daniel Kulin, John Allen, Magid Hallab, Elisabetta Bianchini, Christopher C. Mayer, Dimitrios Terentes-Printzios, Verena Dittrich, Bernhard Hametner, Dave Veerasingam, Dejan Zikic, Vaidotas Marozas
PDF Project DOI
Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: A review from VascAgeNet
Novel Pressure Wave Separation Analysis for Cardiovascular Function Assessment Highlights Major Role of Aortic Root
A novel method to separate the central blood pressure wave into five components with different biophysical and temporal origins.
Samuel Vennin, Ye Li, Jorge Mariscal-Harana, Peter Charlton, Henry Fok, Haotian Gu, Phil Chowienczyk, Jordi Alastruey
PDF Project DOI Accepted manuscript
Novel Pressure Wave Separation Analysis for Cardiovascular Function Assessment Highlights Major Role of Aortic Root
Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research
A review of using machine learning to assess vascular age.
Vasiliki Bikia, Terence Fong, Rachel E Climie, Rosa-Maria Bruno, Bernhard Hametner, Christopher Mayer, Dimitrios Terentes-Printzios, Peter Charlton
PDF Cite Code Dataset Project DOI Supplementary Material
Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research
Blood Pressure Estimation Based on Photoplethysmography: Finger versus Wrist
Comparing blood pressure estimates obtained from finger and wrist sensors.
Birute Paliakaite, Peter Charlton, Andrius Rapalis, Vilma Plusciauskaite, Povilas Piartli, Eugenijus Kaniusas, Vaidotas Marozas
PDF Project DOI Preprint
Benchmarking Photoplethysmography Peak Detection Algorithms Using the Electrocardiogram Signal as a Reference
Introducing two methods to benchmark the performance photoplethysmography (PPG) peak detectors.
Kevin Kotzen, Peter Charlton, Amir Landesberg, Joachim A. Behar
PDF Project DOI Preprint
Wearable photoplethysmography devices
A comprehensive overview of the state-of-the-art of wearable photoplethysmography devices.
Peter Charlton, Vaidotas Marozas
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Wearable photoplethysmography devices
Photoplethysmography Signal Processing and Synthesis
A comprehensive overview of signal processing techniques for the photoplethysmogram signal.
Elisa Mejia-Mejia, John Allen, Karthik Budidha, Chadi El-Hajj, Panayiotis A. Kyriacou, Peter Charlton
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Photoplethysmography Signal Processing and Synthesis
Realising the potential of wearables
The role of wearables in health monitoring.
Peter Charlton
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Realising the potential of wearables
A new framework to estimate breathing rate from electrocardiogram, photoplethysmogram, and blood pressure signals
A novel method to estimate respiratory rate from non-invasive signals.
Ali Adami, Reza Boostani, Faezeh Marzbanrad, Peter Charlton
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A new framework to estimate breathing rate from electrocardiogram, photoplethysmogram, and blood pressure signals
Relationship between fiducial points on the peripheral and central blood pressure waveforms: rate of rise of the central waveform is a determinant of peripheral systolic blood pressure
Investigating the relationships between features on central and peripheral blood pressure waveforms.
Ye Li, Antoine Guilcher, Peter Charlton, Samuel Vennin, Jordi Alastruey, Phil Chowienczyk
PDF Project DOI
Relationship between fiducial points on the peripheral and central blood pressure waveforms: rate of rise of the central waveform is a determinant of peripheral systolic blood pressure
Estimating central blood pressure from aortic flow: development and assessment of algorithms
A novel method to estimate central blood pressure from noninvasive aortic haemodynamic data and peripheral blood pressure.
Jorge Mariscal-Harana, Peter Charlton, Samuel Vennin, Jorge Aramburu, Mateusz Cezary Florkow, Arna van Engelen, Torben Schneider, Hubrecht de Bliek, Bram Ruijsink, Israel Valverde, Philipp Beerbaum, Heynric Grotenhuis, Marietta Charakida, Phil Chowienczyk, Spencer J. Sherwin, Jordi Alastruey
PDF Project DOI
Estimating central blood pressure from aortic flow: development and assessment of algorithms
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring
Design and assessment of a signal quality index for the impedance pneumography signal, and demonstration of its utility for respiratory rate monitoring.
Peter Charlton, Timothy Bonnici, Lionel Tarassenko, David Clifton, Richard Beale, Peter Watkinson, Jordi Alastruey
PDF Cite Code Dataset Project DOI Submitted Manuscript
An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring
Screening for atrial fibrillation: Improving efficiency of manual review of handheld electrocardiograms
An investigation into approaches for reducing the workload associated with reviewing ECGs in atrial fibrillation screening.
Madhumitha Pandiaraja, James Brimicombe, Martin Cowie, Andrew Dymond, Hannah Clair Linden, Gregory Y H Lip, Jonathan Mant, Kate Williams, Peter Charlton
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Screening for atrial fibrillation: Improving efficiency of manual review of handheld electrocardiograms
Acquiring wearable photoplethysmography data in daily life: The PPG Diary Pilot Study
A pilot study investigating the feasibility of acquiring photoplethysmogram (PPG) data during daily life.
Peter Charlton, Panicos Kyriacou, Jonathan Mant, Jordi Alastruey
PDF Cite Code Dataset Project DOI Submitted Manuscript
Acquiring wearable photoplethysmography data in daily life: The PPG Diary Pilot Study
Influence of mental stress on the pulse wave features of photoplethysmograms
An investigation into how photoplethysmogram pulse wave features change with mental stress.
Patrick Celka, Peter Charlton, Bushra Farukh, Phil Chowienczyk, Jordi Alastruey
PDF Project Project DOI
Influence of mental stress on the pulse wave features of photoplethysmograms
Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexes
Arterial pulse waves were simulated for healthy subjects aged 25-75, and the resulting database was made publicly available.
Peter Charlton, Jorge Mariscal-Harana, Samuel Vennin, Ye Li, Phil Chowienczyk, Jordi Alastruey
PDF Cite Code Dataset Project Project DOI Submitted Manuscript
Modeling arterial pulse waves in healthy aging: a database for in silico evaluation of hemodynamics and pulse wave indexes
Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review
A review of breathing rate estimation from the electrocardiogram and photoplethysmogram.
Peter Charlton, Drew Birrenkott, Timothy Bonnici, Marco Pimentel, Alistair Johnson, Jordi Alastruey, Lionel Tarassenko, Peter Watkinson, Richard Beale, David Clifton
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Breathing rate estimation from the electrocardiogram and photoplethysmogram: a review
Assessing mental stress from the photoplethysmogram: a numerical study
A study of techniques to assess mental stress from the photoplethysmogram, using simulated data.
Peter Charlton, Patrick Celka, Bushra Farukh, Phil Chowienczyk, Jordi Alastruey
PDF Code Dataset Project Project DOI
Assessing mental stress from the photoplethysmogram: a numerical study
Continuous respiratory rate monitoring to detect clinical deteriorations using wearable sensors
The aim of this thesis was to develop and assess the performance of techniques for continuous RR monitoring using ECG and PPG signals for use in wearable sensors to detect deteriorations.
Peter Charlton
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Continuous respiratory rate monitoring to detect clinical deteriorations using wearable sensors
Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants
An investigation into the effects of technical and physiological factors on respiratory signals extracted from signals commonly measured by wearables.
Peter Charlton, Timothy Bonnici, Lionel Tarassenko, Jordi Alastruey, David Clifton, Richard Beale, Peter Watkinson
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Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants
An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram
An assessment of signal processing algorithms to estimate respiratory rate from signals typically acquired by wearables.
Peter Charlton, Timothy Bonnici, Lionel Tarassenko, David Clifton, Richard Beale, Peter Watkinson
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An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram
Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring
The identification of invalid data in recordings obtained using wearable sensors is of particular importance since data obtained from …
Christina Orphanidou, Timothy Bonnici, Peter Charlton, David Clifton, David Vallance, Lionel Tarassenko
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Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring
Probabilistic estimation of respiratory rate from wearable sensors
A novel technique for measuring respiratory rate using waveform data acquired from wearable sensors.
Marco A F Pimentel, Peter Charlton, David A Clifton
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Measurement of cardiovascular state using attractor reconstruction analysis
Using a novel signal processing technique to analyse photoplethysmogram (PPG) signals.
Peter Charlton, L. Camporota, J. Smith, M. Nandi, M. Christie, P. J. Aston, R. Beale
Cite DOI Accepted manuscript
Health Informatics via Machine Learning for the Clinical Management of Patients
A review of how health informatics systems based on machine learning methods have impacted the clinical management of patients.
D A Clifton, K E Niehaus, Peter Charlton, G W Colopy
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Optimising the Windkessel model for cardiac output monitoring during changes in vascular tone
Algorithms for estimating cardiac output (CO) from the arterial blood pressure wave have been observed to be inaccurate during changes …
Peter Charlton, John Smith, Luigi Camporota, Richard Beale, Jordi Alastruey
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Photoplethysmographic derivation of respiratory rate: a review of relevant physiology
An abnormal respiratory rate is often the earliest sign of critical illness. A reliable estimate of respiratory rate is vital in the …
D J Meredith, D Clifton, Peter Charlton, J Brooks, C W Pugh, L Tarassenko
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A medical classic: Liza of Lambeth
A review of ‘Liza of Lambeth’, a novel written over a century ago containing insights which remain relevant to healthcare today.
Rodger Charlton, Peter Charlton
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