For our next talk, in the Digital Phenotyping seminar series, we will hear from Peter H. Charlton, Senior Research Scientist at Nokia Bell Labs, on Wednesday 7 May, 2:00 pm – 3:00 pm, at the Big Data Institute (BDI).
Title: Using wearables to screen for atrial fibrillation
Date: Wednesday 7 May
Time: 2:00 pm – 3:00 pm
Venue: BDI/OxPop, Seminar Room 0; followed by refreshments in the atrium
Abstract: Atrial fibrillation (AF) the most common sustained cardiac arrhythmia, and confers a five-fold increase in stroke risk. It is estimated that hundreds of thousands of people in the UK are unaware that they have AF, and so are not offered treatment to reduce their risk of stroke. Wearables may have a role to play in identifying AF, as they can monitor the heart rhythm over prolonged periods, enabling detection of even infrequent episodes of AF. In this talk, Peter will present recent research investigating the potential role of wearables in population-level screening for AF. He will present early results from the SAFER Wearables Study on the acceptability of wearables in older adults, who are most likely to have AF. He will also present work on increasing the accuracy of manual and automated diagnoses derived from wearable data. Finally, he will discuss future directions for integrating wearables into clinical practice.
Short bio: Peter Charlton is a Senior Research Scientist at Nokia Bell Labs. He specialises in signal processing for wearables, with applications in healthcare. Peter gained the degree of M.Eng. in Engineering Science in 2010 from the University of Oxford. From 2010 to 2020, Peter conducted his research at King’s College London, developing techniques to use wearables to monitor cardiovascular and respiratory health. His Ph.D. focused on using signal processing and machine learning techniques to identify acute deteriorations in hospital patients. From 2020 to 2025, Peter developed techniques to use clinical and consumer devices in screening for atrial fibrillation. He led a clinical study to assess the acceptability and performance of wearables in older adults.
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