wearables

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
Announcing the 2023 Wearable Photoplethysmography Roadmap
The 2023 Wearable Photoplethysmography Roadmap is out now
Peter Charlton
Nov 29, 2023 1 min read
Project
Announcing the 2023 Wearable Photoplethysmography Roadmap
QRS detection in single-lead, telehealth electrocardiogram signals: benchmarking open-source algorithms
An assessment of sixteen 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
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
PDF Slides Follow
Using consumer wearables in healthcare and research
Wearable Photoplethysmography: Current Status and Future Challenges
An update on wearable photoplethysmography.
Peter Charlton, Panicos Kyriacou
PDF Project Preprint
Photoplethysmography Datasets
A list of publicly available datasets containing photoplethysmogram signals.
Peter Charlton
Aug 2, 2022 5 min read
Project Project
Photoplethysmography Datasets
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
Assessing vascular age from the photoplethysmogram
The state-of-the-art and future directions in using wearable photoplethysmography for health monitoring
Jul 6, 2022 3:00 PM — 4:00 PM University College London, Department for Population Science and Experimental Medicine
Peter Charlton
Project Follow
Assessing vascular age from the photoplethysmogram
Respiratory rate algorithms for wearables
Developing an algorithm to estimate respiratory rate from wearable photoplethysmogram (PPG) signals for use in daily life.
Code Slides Video Follow
Respiratory rate algorithms for wearables
Wearable photoplethysmography for health monitoring
The state-of-the-art and future directions in using wearable photoplethysmography for health monitoring
Apr 26, 2022 1:00 PM — 2:00 PM Kaunas University of Technology
Peter Charlton
Project Follow