Peter Charlton
Peter Charlton
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Wearable Photoplethysmography Devices
A comprehensive overview of the state-of-the-art of wearable photoplethysmography devices.
Peter Charlton
,
Vaidotas Marozas
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Using consumer devices for clinical assessment
The state-of-the-art and future for consumer devices in clinical assessment
Jul 19, 2021 4:00 PM — 5:00 PM
Department of Public Health and Primary Care, University of Cambridge
Peter Charlton
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The 'Respiratory rate algorithms for wearables' project
An introduction to the ‘Respiratory rate algorithms for wearables’ project.
May 14, 2021 —
Webinar
Peter Charlton
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Realising the potential of wearables
The role of wearables in health monitoring.
Peter Charlton
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Realising the potential of wearables for health monitoring
A presentation on realising the potential of consumer wearables for health monitoring.
Mar 18, 2021 11:00 AM — 12:00 PM
Webinar hosted by City, University of London
Peter Charlton
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SAFER Wearables Study
A study of the acceptability and performance of wearables for atrial fibrillation screening in older adults
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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
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Conducting a systematic review
Insights into systematic review methodology, considering which search engines to use, how many to use, and choosing the search terms.
Peter Charlton
Apr 2, 2020
6 min read
Respiratory rate
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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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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