Publications

This page provides details of selected publications.

A complete list of publications is available here. Also, see my Google Scholar profile
The MSPTDfast photoplethysmography beat detection algorithm - Design, benchmarking, and open-source distribution
Developing and benchmaking a more efficient, open-source implementation of the MSPTD photoplethysmography beat detection algorithm
Peter Charlton, Erick Javier Arguello-Prada, Jonathan Mant, Panicos A. Kyriacou
PDF Project Preprint
The MSPTDfast photoplethysmography beat detection algorithm - Design, benchmarking, and open-source distribution
The acceptability of wearables for atrial fibrillation screening: Interim analysis of the SAFER Wearables Study
Early analyses of the acceptability of wearables to older adults from the SAFER Wearables Study.
Peter Charlton, Justinas Bacevicius, Timothy Bonnici, James Brimicombe, Cheryl Chapman, Andrew Dymond, Miranda Van Emmenis, Panicos A. Kyriacou, Vaidotas Marozas, Andrius Rapalis, Kate Williams, Jonathan Mant
Project Preprint
The acceptability of wearables for atrial fibrillation screening: Interim analysis of the SAFER Wearables Study
MSPTDfast - An Efficient Photoplethysmography Beat Detection Algorithm
Developing a more efficient, open-source implementation of the MSPTD photoplethysmography beat detection algorithm
Peter Charlton, Jonathan Mant, Panicos A. Kyriacou
Project Preprint
MSPTDfast - An Efficient Photoplethysmography Beat Detection Algorithm
Comparing RR-Interval-Based and Whole-Signal-Based Machine Learning Models for Atrial Fibrillation Detection from Single-lead Electrocardiograms
Introducing two methods to benchmark the performance photoplethysmography (PPG) peak detectors.
Zixuan Ding, Jonathan Mant, James Brimicombe, Tommaso Bucci, Benjamin JR Buckley, Peter Calvert, Wern Yew Ding, Andrew Dymond, Gregory Lip, Riccardo Proietti, Kate Williams, Elena Punskaya, Peter Charlton
Project Preprint
Comparing RR-Interval-Based and Whole-Signal-Based Machine Learning Models for Atrial Fibrillation Detection from Single-lead Electrocardiograms
Automated RR Interval Detection and Quality Assessment in Telehealth Electrocardiograms
Using a pair of QRS detectors to determine when RR-intervals can be accurately extracted from ECGs
Sharon Yuen Shan Ho, Florian Kristof, Jonathan Mant, Peter Charlton
Project Preprint
Automated RR Interval Detection and Quality Assessment in Telehealth Electrocardiograms
QRS detection in single-lead, telehealth electrocardiogram signals: benchmarking open-source algorithms
An assessment of eighteen open-source QRS detection algorithms across six datasets.
Florian Kristof, Maximilian Kapsecker, Leon Nissen, James Brimicombe, Martin Cowie, Zixuan Ding, Andrew Dymond, Stephan Jonas, Hannah Clair Linden, Gregory Lip, Kate Williams, Jonathan Mant, Peter Charlton
PDF Code Project DOI
QRS detection in single-lead, telehealth electrocardiogram signals: benchmarking open-source algorithms
Reliability of single-lead electrocardiogram interpretation to detect atrial fibrillation: insights from the SAFER Feasibility Study
Assessing the reliability of single-lead ECG interpretation
Katie Hibbitt, James Brimicombe, Martin Cowie, Andrew Dymond, Ben Freedman, Simon J Griffin, FD Richard Hobbs, Hannah Clair Linden, Gregory YH Lip, Jonathan Mant, Richard J McManus, Madhumitha Pandiaraja, Kate Williams, Peter Charlton
PDF Project DOI
Reliability of single-lead electrocardiogram interpretation to detect atrial fibrillation: insights from the SAFER Feasibility Study
pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis
A Python toolbox for comprehensive photoplethysmography signal analysis
Marton A. Goda, Peter Charlton, Joachim Behar
PDF Project Project DOI Submitted manuscript
pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis
Telephone training to improve ECG quality in remote screening for atrial fibrillation
Using telephone training to improve telehealth ECG quality
Kethaki Prathivadi Bhayankaram, Jonathan Mant, James Brimicombe, Andrew Dymond, Kate Williams, Peter Charlton
PDF Project DOI
Advanced waveform analysis of the photoplethysmogram signal using complementary signal processing techniques for the extraction of biomarkers of cardiovascular function
Investigating two photoplethysmogram (PPG) signal processing techniques
Aristide Jun Wen Mathieu, Miquel Serna Pascual, Peter Charlton, Maria Volovaya, Jenny Venton, Philip J Aston, Manasi Nandi, Jordi Alastruey
PDF DOI
Advanced waveform analysis of the photoplethysmogram signal using complementary signal processing techniques for the extraction of biomarkers of cardiovascular function
Noninvasive hemodynamic indices of vascular aging: an in silico assessment
A study of techniques to assess mental stress from the photoplethysmogram, using simulated data.
Jingyuan Hong, Manasi Nandi, Peter Charlton, Jordi Alastruey
PDF Project Project DOI
Noninvasive hemodynamic indices of vascular aging: an in silico assessment
Wearable Photoplethysmography: Current Status and Future Challenges
An update on wearable photoplethysmography.
Peter Charlton, Panicos Kyriacou
PDF Project Preprint
Characterising RR Intervals in Atrial Fibrillation Detected through Screening
The characteristics of RR intervals in AF detected through screening.
Rayo Akande, James Brimicombe, Martin R. Cowie, Andrew Dymond, Hannah Clair Linden, Gregory Y. H. Lip, Jenny Lund, Jonathan Mant, Madhumitha Pandiaraja, Emma Svennberg, Kate Williams, Peter Charlton
PDF Project Preprint
PhysioZoo: The Open Digital Physiological Biomarkers Resource
A platform for the analysis of continuous physiological time series.
Joachim A. Behar, Jeremy Levy, Eran Zvuloni, Sheina Gendelman, Aviv Rosenberg, Shany Biton, Raphael Derman, Jonathan A. Sobel, Alexandra Alexandrovich, Peter Charlton, Marton A Goda
PDF Preprint
Clustered photoplethysmogram pulse wave shapes and their associations with clinical data
Clustering photoplethysmogram pulse wave shapes and investigating clinical characteristics of different clusters.
Serena Zanelli, Kornelia Eveilleau, Peter Charlton, Mehdi Ammi, Magid Hallab, Mounim A. EL Yacoubi
PDF Project DOI
Clustered photoplethysmogram pulse wave shapes and their associations with clinical data
The 2023 wearable photoplethysmography roadmap
In this Roadmap, experts provide their perspectives on the future development of wearable photoplethysmography.
Peter Charlton, John Allen, Raquel Bailon, Stephanie Baker, Joachim A Behar, Fei Chen, Gari D Clifford, David A Clifton, Harry J Davies, Cheng Ding, Xiaorong Ding, Jessilyn Dunn, Mohamed Elgendi, Munia Ferdoushi, Daniel Franklin, Eduardo Gil, Md Farhad Hassan, Jussi Hernesniemi, Xiao Hu, Nan Ji, Yasser Khan, Spyridon Kontaxis, Ilkka Korhonen, Panayiotis A Kyriacou, Pablo Laguna, Jesus Lazaro, Chungkeun Lee, Jeremy Levy, Yumin Li, Chengyu Liu, Jing Liu, Lei Lu, Danilo P Mandic, Vaidotas Marozas, Elisa Mejia-Mejia, Ramakrishna Mukkamala, Meir Nitzan, Tania Pereira, Carmen C Y Poon, Jessica C Ramella-Roman, Harri Saarinen, Md Mobashir Hasan Shandhi, Hangsik Shin, Gerard Stansby, Toshiyo Tamura, Antti Vehkaoja, Will Ke Wang, Yuan-Ting Zhang, Ni Zhao, Dingchang Zheng, Tingting Zhu
PDF Project Project DOI
The 2023 wearable photoplethysmography roadmap
Robust peak detection for photoplethysmography signal analysis
A high-performance beat detector for the photoplethysmogram signal.
Marton A. Goda, Peter Charlton, Joachim A. Behar
PDF Project Preprint
A review of the effect of skin pigmentation on pulse oximeter accuracy
A review of the impact of skin pigmentation on the accuracy of pulse oximetry, with recommendations for future developments.
Raghda Al-Halawani, Peter Charlton, Meha Qassem, Panicos Kyriacou
PDF Project DOI
A review of the effect of skin pigmentation on pulse oximeter accuracy
Arterial pulse wave modelling and analysis for vascular age studies: a review from VascAgeNet
A review of arterial pulse wave modelling and analysis for vascular age studies.
Jordi Alastruey, Peter Charlton, Vasiliki Bikia, Birute Paliakaite, Bernhard Hametner, Rosa-Maria Bruno, Marijn Mulder, Samuel Vennin, Senol Piskin, Ashraf W. Khir, Andrea Guala, Christopher C. Mayer, Jonathan Mynard, Alun D. Hughes, Patrick Segers, Berend E. Westerhof
PDF Project DOI
Arterial pulse wave modelling and analysis for vascular age studies: a review from VascAgeNet
An artificial intelligence-based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening
Developing an artificial intelligence (AI)-based network to predict paroxysmal AF from a normal sinus rhythm single-lead ECG.
Tove Hygrell, Fredrik Viberg, Erik Dahlberg, Peter Charlton, Katrin Kemp Gudmundsdottir, Jonathan Mant, Josef Lindman Hornlund, Emma Svennberg
Project DOI
An artificial intelligence-based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening
Influence of Photoplethysmogram Signal Quality on Pulse Arrival Time during Polysomnography
Developing a photoplethysmography signal quality assessment algorithm for robust pulse arrival time measurement.
Mantas Rinkevicius, Peter Charlton, Raquel Bailon, Vaidotas Marozas
PDF Project DOI
Influence of Photoplethysmogram Signal Quality on Pulse Arrival Time during Polysomnography
Vascular Ageing - Moving from Bench towards Bedside
A review of key questions relating to the translation of vascular ageing measurement from bench towards bedside.
R E Climie, J Alastruey, C C Mayer, A Schwarz, A Laucyte-Cibulskiene, J Voicehovska, E Bianchini, R M Bruno, Peter Charlton, A Grillo, A Guala, M Hallab, B Hametner, P Jankowski, K Konigsten, A Lebedeva, I Mozos, G Pucci, H Puzantian, D Terentes-Printzios, G Yetik-Anacak, C Park, P M Nilsson, T Weber
PDF Project DOI
Vascular Ageing - Moving from Bench towards Bedside
Development and Evaluation of a Contactless Heart Rate Measurement Device Based on rPPG
Developing a contactless heart rate measurement device
Nur Ahmadi, M. Salman Al Farisyi, M. Dzaky Prihatmoko, M. Heronan Hyanda, Habibur Muhaimin, Rahmat Mulyawan, Peter Charlton, Trio Adiono
DOI
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography
Sleep staging using photoplethysmography and deep learning.
Kevin Kotzen, Peter Charlton, Sharon Salabi, Lea Amar, Amir Landesberg, Joachim Behar
PDF DOI Submitted manuscript
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
An assessment of fifteen open-source photoplethysmogram (PPG) beat detectors across eight datasets.
Peter Charlton, Kevin Kotzen, Elisa Mejia-Mejia, Philip J. Aston, Karthik Budidha, Jonathan Mant, Callum Pettit, Joachim Behar, Panicos A. Kyriacou
PDF Code Dataset Project DOI
Detecting beats in the photoplethysmogram: benchmarking open-source algorithms
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
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
PDF Project Publisher page
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
PDF Project Publisher page
Photoplethysmography Signal Processing and Synthesis
Realising the potential of wearables
The role of wearables in health monitoring.
Peter Charlton
PDF Cite
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
PDF Cite Project DOI
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
PDF Cite Project DOI
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
PDF Cite Code Dataset Project DOI
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
PDF Cite Project Preview
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
PDF Cite Code Dataset Project Slides DOI
Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants
Toward a robust estimation of respiratory rate from pulse oximeters
A novel technique for estimating respiratory rate from photoplethysmography signals.
Marco A F Pimentel, Alistair E W Johnson, Peter Charlton, Drew Birrenkott, Peter J Watkinson, Lionel Tarassenko, David A Clifton
Dataset Project DOI Full Text
Toward a robust estimation of respiratory rate from pulse oximeters
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
PDF Cite Code Dataset Project Slides DOI
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
Cite Project DOI
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
Cite Project DOI Full Text
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
Cite DOI Poster
Achieving Clinical Quality from Wireless Sensors
Wireless sensors may aid detection of clinical deteriorations in hospital patients. Potential routes for translating this technology …
Peter Charlton, T Bonnici, DA Clifton, L Tarassenko, PJ Watkinson, R Beale
PDF
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
Cite Project DOI PubMed
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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