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CATEGORIES:Mobile and Wearable Health Seminar Series
SUMMARY:Wearable electrocardiography: from Holter to handh
 eld devices - Peter Charlton (University of Cambri
 dge)
DTSTART;TZID=Europe/London:20250311T140000
DTEND;TZID=Europe/London:20250311T150000
UID:TALK221200AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/221200
DESCRIPTION:The electrocardiogram (ECG) is a fundamental techn
 ique for assessing heart function. The 12-lead ECG
  was developed over 70 years ago and to this day r
 emains a gold standard\, providing high signal qua
 lity and multiple views of the heart. In contrast\
 , wearable ECG technology enables continuous ECG r
 ecording over prolonged periods of time outside of
  clinical settings. More recently\, consumer devic
 es like smartwatches and clinical-grade handheld E
 CG recorders allow 30-second ECGs to be recorded o
 n demand without the need for clinical input. Whil
 st novel wearables have greatly expanded access to
  ECG monitoring\, they also present interesting ch
 allenges\, including: ensuring diagnoses are accur
 ate despite the reduced number of leads and lower 
 signal quality\; and\, making appropriate treatmen
 t decisions in a population with lower disease pre
 valence and burden than encountered in routine cli
 nical practice. In this talk\, I will discuss the 
 advantages and limitations of these different ECG 
 measurement techniques and their potential roles i
 n healthcare. I will recent findings from our rese
 arch on the performance and acceptability of weara
 ble and handheld ECG devices for detecting atrial 
 fibrillation in older adults. Finally\, I will dis
 cuss future directions for wearable electrocardiog
 raphy\, including advancements in hardware\, signa
 l processing algorithms\, and their integration in
 to clinical decision-making.\n\nBio: Peter Charlto
 n is a British Heart Foundation Research Fellow in
  the Department of Public Health and Primary Care\
 , at the University of Cambridge. He develops biom
 edical signal processing techniques to analyse dat
 a from mobile devices for clinical decision making
 . Peter gained the degree of M.Eng. in Engineering
  Science in 2010 from the University of Oxford wit
 h first class honours. From 2010 to 2020\, Peter c
 onducted his research at King’s College London\, d
 eveloping techniques to use wearables to monitor c
 ardiovascular and respiratory health. His Ph.D. fo
 cused on using signal processing and machine learn
 ing techniques to identify acute deteriorations in
  hospital patients. Peter is currently developing 
 techniques to use clinical and consumer devices in
  screening for atrial fibrillation. He is leading 
 a clinical study to assess the acceptability and p
 erformance of wearables in older adults.\nPeter wo
 rks in collaboration with clinicians and industria
 l partners to translate his work into clinical pra
 ctice.\n 
LOCATION:Computer Lab\, LT2 and Online
CONTACT:Cecilia Mascolo
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