electrocardiogram

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
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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
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Reliability of single-lead electrocardiogram interpretation to detect atrial fibrillation: insights from the SAFER Feasibility Study
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
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Using consumer wearables in healthcare and research
An introduction to using consumer wearables in healthcare and research.
Nov 6, 2023 10:00 AM — 11:00 AM Heart and Lung Research Institute, University of Cambridge
Peter Charlton
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Using consumer wearables in healthcare and research
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
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Multimodal signal processing and learning for wearables
An interactive, online workshop providing an introduction to the fundamentals of biomedical signal processing and learning for wearable signals of multiple modalities.
Mar 15, 2023 10:00 AM — Mar 15, 2022 12:00 PM Online
Peter Charlton
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Multimodal signal processing and learning for wearables
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
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Influence of Photoplethysmogram Signal Quality on Pulse Arrival Time during Polysomnography
Smart wearable devices - gadgets or goldmines?
Smart wearable devices - a blog post on realising the potential for wearables to improve patient outcomes.
Peter Charlton
Dec 19, 2022 2 min read SAFER Wearables Study, Wearable Devices
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Smart wearable devices - gadgets or goldmines?
Prioritising ECGs for manual review in atrial fibrillation screening
A summary of our work on prioritising ECGs for manual review in atrial fibrillation screening
Jul 14, 2022 10:30 AM — 12:00 PM Glasgow
Peter Charlton
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Prioritising ECGs for manual review in atrial fibrillation screening