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SUMMARY:Simulating photoplethysmography signals - Andrius Solosenko (Kauna
 s University of Technology)\; Cheng Ding (Emory University)\; Dr James May
  (City\, University of London)\; Dr Jordi Alastruey-Arimon (King’s Colle
 ge London)
DTSTART:20220127T140000Z
DTEND:20220127T150000Z
UID:TALK168674@talks.cam.ac.uk
CONTACT:Peter Charlton
DESCRIPTION:Several techniques have recently been developed to simulate ph
 otoplethysmogram (PPG) signals\, providing data with which to develop PPG 
 signal processing algorithms\, and providing insight into the physiologica
 l origins of the signal. This webinar will feature talks from researchers 
 who have developed complementary techniques to simulate PPG signals. It wi
 ll provide a comprehensive overview of the state-of-the-art\, and highligh
 t pressing directions for future research.\n\n- Andrius Solosenko (Kaunas 
 University of Technology) will present on modelling photoplethysmogram sig
 nals during atrial fibrillation.\n\n- Cheng Ding (Emory University) will p
 resent a novel approach to simulating PPG signals using generative adversa
 rial networks.\n\n- Dr James May (City\, University of London) will presen
 t on in vitro simulation of photoplethysmography signals.\n\n- Dr Jordi Al
 astruey-Arimon (King’s College London) will present on the role of in si
 lico pulse wave databases in machine learning-based pulse wave analysis.
LOCATION:https://www.ipem.ac.uk/Conferences-Events/Upcoming-IPEM-Events/Ev
 ent-Details/dateid/643
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