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SUMMARY:Wearable electrocardiography: from Holter to handheld devices - Pe
 ter Charlton (University of Cambridge)
DTSTART:20250311T140000Z
DTEND:20250311T150000Z
UID:TALK221200@talks.cam.ac.uk
CONTACT:Cecilia Mascolo
DESCRIPTION:The electrocardiogram (ECG) is a fundamental technique for ass
 essing heart function. The 12-lead ECG was developed over 70 years ago and
  to this day remains a gold standard\, providing high signal quality and m
 ultiple views of the heart. In contrast\, wearable ECG technology enables 
 continuous ECG recording over prolonged periods of time outside of clinica
 l settings. More recently\, consumer devices like smartwatches and clinica
 l-grade handheld ECG recorders allow 30-second ECGs to be recorded on dema
 nd without the need for clinical input. Whilst novel wearables have greatl
 y expanded access to ECG monitoring\, they also present interesting challe
 nges\, including: ensuring diagnoses are accurate despite the reduced numb
 er of leads and lower signal quality\; and\, making appropriate treatment 
 decisions in a population with lower disease prevalence and burden than en
 countered in routine clinical practice. In this talk\, I will discuss the 
 advantages and limitations of these different ECG measurement techniques a
 nd their potential roles in healthcare. I will recent findings from our re
 search on the performance and acceptability of wearable and handheld ECG d
 evices for detecting atrial fibrillation in older adults. Finally\, I will
  discuss future directions for wearable electrocardiography\, including ad
 vancements in hardware\, signal processing algorithms\, and their integrat
 ion into clinical decision-making.\n\nBio: Peter Charlton is a British Hea
 rt Foundation Research Fellow in the Department of Public Health and Prima
 ry Care\, at the University of Cambridge. He develops biomedical signal pr
 ocessing techniques to analyse data from mobile devices for clinical decis
 ion making. Peter gained the degree of M.Eng. in Engineering Science in 20
 10 from the University of Oxford with first class honours. From 2010 to 20
 20\, Peter conducted his research at King’s College London\, developing 
 techniques to use wearables to monitor cardiovascular and respiratory heal
 th. His Ph.D. focused on using signal processing and machine learning tech
 niques to identify acute deteriorations in hospital patients. Peter is cur
 rently developing techniques to use clinical and consumer devices in scree
 ning for atrial fibrillation. He is leading a clinical study to assess the
  acceptability and performance of wearables in older adults.\nPeter works 
 in collaboration with clinicians and industrial partners to translate his 
 work into clinical practice.\n 
LOCATION:Computer Lab\, LT2 and Online
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