A method for assessing the reliability of heart rates obtained from ambulatory ECG. - Christina Orphanidou; Timothy Bonnici; David Vallance; Alexander Darrell; Peter Charlton; Lionel Tarassenko (BIBE, 2012)

Optimising the Windkessel model for cardiac output monitoring during changes in vascular tone. - Peter Charlton; John Smith; Luigi Camporota; Richard Beale; Jordi Alastruey (EMBC, 2014)

Measurement of cardiovascular state using attractor reconstruction analysis. - Peter H. Charlton; Luigi Camporota; Jaclyn Smith; Manasi Nandi; Mark Christie; Philip J. Aston; Richard Beale (EUSIPCO, 2015)

Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring. - Christina Orphanidou; Timothy Bonnici; Peter Charlton; David A. Clifton; David Vallance; Lionel Tarassenko (IEEE J. Biomed. Health Informatics, 2015)

Beyond HRV: Analysis of ECG Signals using Attractor Reconstruction. - Jane Lyle; Peter Charlton; Esther Bonet-Luz; Gary Chaffey; Mark Christie; Manasi Nandi; Philip J. Aston (CinC, 2017)

Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters. - Marco A. F. Pimentel; Alistair E. W. Johnson; Peter Charlton; Drew A. Birrenkott; Peter J. Watkinson; Lionel Tarassenko; David A. Clifton (IEEE Trans. Biomed. Eng., 2017)

Benchmarking Photoplethysmography Peak Detection Algorithms Using the Electrocardiogram Signal as a Reference. - Kevin Kotzen; Peter H. Charlton; Amir Landesberg; Joachim A. Behar (CinC, 2021)

Blood Pressure Estimation Based on Photoplethysmography: Finger Versus Wrist. - Birute Paliakaite; Peter H. Charlton; Andrius Rapalis; Vilma Plusciauskaite; Povilas Piartli; Eugenijus Kaniusas; Vaidotas Marozas (CinC, 2021)

A New Framework to Estimate Breathing Rate From Electrocardiogram, Photoplethysmogram, and Blood Pressure Signals. - Ali Adami; Reza Boostani; Faezeh Marzbanrad; Peter H. Charlton (IEEE Access, 2021)

An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring. - Peter H. Charlton; Timothy Bonnici; Lionel Tarassenko; David A. Clifton; Richard Beale; Peter J. Watkinson; Jordi Alastruey (Biomed. Signal Process. Control., 2021)

Prioritising electrocardiograms for manual review to improve the efficiency of atrial fibrillation screening. - Mary Adeniji; James Brimicombe; Martin R. Cowie; Andrew Dymond; Hannah Clair Lindén; Gregory Yoke Hong Lip; Jonathan Mant; Madhumitha Pandiaraja; Kate Williams; Peter H. Charlton (EMBC, 2022)

Development and Evaluation of a Contactless Heart Rate Measurement Device Based on rPPG. - Nur Ahmadi; M. Salman Al Farisyi; Muhammad Dzaky Prihatmoko; M. Heronan Hyanda; Habibur Muhaimin; Rahmat Mulyawan; Peter H. Charlton; Trio Adiono (ICECS 2022, 2022)

SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography. - Kevin Kotzen; Peter H. Charlton; Sharon Salabi; Amir Landesberg; Joachim A. Behar (CoRR, 2022)

Wearable Photoplethysmography for Cardiovascular Monitoring. - Peter H. Charlton; Panicos A. Kyriacou; Jonathan Mant; Vaidotas Marozas; Philip J. Chowienczyk; Jordi Alastruey (Proc. IEEE, 2022)

Novel Pressure Wave Separation Analysis for Cardiovascular Function Assessment Highlights Major Role of Aortic Root. - Samuel Vennin; Ye Li; Jorge Mariscal Harana; Peter H. Charlton; Henry Fok; Haotian Gu; Philip J. Chowienczyk; Jordi Alastruey (IEEE Trans. Biomed. Eng., 2022)

A Comparative Evaluation of Video Codecs for rPPG-based Heart Rate Estimation. - Muhammad Heronan Hyanda; Nur Ahmadi; Peter H. Charlton; Timothy G. Constandinou; Ayu Purwarianti; Trio Adiono (APSIPA ASC, 2023)

Signal Quality Assessment for Wearable Multichannel Photoplethysmography Signals. - Muhammad Dzaky Prihatmoko; Nur Ahmadi; Peter H. Charlton; Trio Adiono (APSIPA ASC, 2023)

Characterising RR Intervals in Atrial Fibrillation Detected Through Screening. - Rayo Akande; James Brimicombe; Martin R. Cowie; Andrew Dymond; Hannah Clair Lindén; Gregory Yoke Hong Lip; Jenny Lund; Jonathan Mant; Madhumitha Pandiaraja; Emma Svennberg; Kate Williams; Peter H. Charlton; et al. (CinC, 2023)

Characterising RR Intervals in Atrial Fibrillation Detected Through Screening. - Rayo Akande; James Brimicombe; Martin R. Cowie; Andrew Dymond; Hannah Clair Lindén; Gregory Yoke Hong Lip; Jenny Lund; Jonathan Mant; Madhumitha Pandiaraja; Emma Svennberg; Kate Williams; Peter H. Charlton; et al. (CinC, 2023)

PhysioZoo: The Open Digital Physiological Biomarkers Resource. - Joachim A. Behar; Jeremy Levy; Eran Zvuloni; Sheina Gendelman; Aviv Rosenberg 001; Shany Biton; Raphaël Derman; Jonathan A. Sobel; Alexandra Alexandrovich; Peter H. Charlton; Márton Áron Goda (CinC, 2023)

Accelerometry-Guided Inter-Beat-Interval Assessment from Wrist Photoplethysmography. - Peter H. Charlton; Joachim A Behar; Márton Áron Goda; Jonathan Mant; Panicos A. Kyriacou (CinC, 2023)

Wearable Photoplethysmography: Current Status and Future Challenges. - Peter H. Charlton; Panicos A. Kyriacou (CinC, 2023)

Robust Peak Detection for Photoplethysmography Signal Snalysis. - Márton Áron Goda; Peter H. Charlton; Joachim A. Behar (CinC, 2023)

pyPPG: A Python toolbox for comprehensive photoplethysmography signal analysis. - Márton Áron Goda; Peter H. Charlton; Joachim A. Behar (CoRR, 2023)

Influence of Photoplethysmogram Signal Quality on Pulse Arrival Time during Polysomnography. - Mantas Rinkevicius; Peter H. Charlton; Raquel Bailón; Vaidotas Marozas (Sensors, 2023)

SleepPPG-Net: A Deep Learning Algorithm for Robust Sleep Staging From Continuous Photoplethysmography. - Kevin Kotzen; Peter H. Charlton; Sharon Salabi; Lea Amar; Amir Landesberg; Joachim A. Behar (IEEE J. Biomed. Health Informatics, 2023)

Energy-Efficient PPG-Based Respiratory Rate Estimation Using Spiking Neural Networks. - Geunbo Yang; Youngshin Kang; Peter H. Charlton; Panayiotis A. Kyriacou; Ko Keun Kim; Ling Li 010; Cheolsoo Park (Sensors, 2024)

Obstructive Sleep Apnea Characterization: A Multimodal Cross-Recurrence-Based Approach for Investigating Atrial Fibrillation. - Mantas Rinkevicius; Jesús Lázaro 002; Eduardo Gil; Pablo Laguna; Peter H. Charlton; Raquel Bailón; Vaidotas Marozas (IEEE J. Biomed. Health Informatics, 2024)

Machine learning-based pulse wave analysis for classification of circle of Willis topology: An in silico study with 30,618 virtual subjects. - Ahmet Sen; Miquel Aguirre; Peter H. Charlton; Laurent Navarro; Stéphane Avril; Jordi Alastruey (Biomed. Signal Process. Control., 2025)

Generalizable deep learning for photoplethysmography-based blood pressure estimation - A Benchmarking Study. - Mohammad Moulaeifard; Peter H. Charlton; Nils Strodthoff (CoRR, 2025)

Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches. - Mohammad Moulaeifard; Loic Coquelin; Mantas Rinkevicius; Andrius Solosenko; Oskar Pfeffer; Ciaran Bench; Nando Hegemann; Sara Vardanega; Manasi Nandi; Jordi Alastruey; Christian Heiss; Vaidotas Marozas; et al. (CoRR, 2025)

Towards deployment-centric multimodal AI beyond vision and language. - Xianyuan Liu; Jiayang Zhang; Shuo Zhou; Thijs L. van der Plas; Avish Vijayaraghavan; Anastasiia Grishina; Mengdie Zhuang; Daniel Schofield; Christopher Tomlinson; Yuhan Wang; Ruizhe Li; Louisa van Zeeland; et al. (CoRR, 2025)