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SUMMARY:Photoplethysmography signal processing - Xiaorong Ding (University
  of Electronic Science and Technology of China)\; Ariane Morassi-Sasso (Ha
 sso Plattner Institute)\; Serena Zanelli (Paris Sorbonne Nord University)
DTSTART:20220915T130000Z
DTEND:20220915T140000Z
UID:TALK178508@talks.cam.ac.uk
CONTACT:Peter Charlton
DESCRIPTION:The photoplethysmogram (PPG) signal contains a wealth of infor
 mation. However\, there are several challenges to extracting physiological
  measurements from the PPG. Firstly\, the PPG is highly susceptible to noi
 se\, which can corrupt the information in the signal. Consequently\, much 
 research has focused on assessing PPG signal quality and reducing motion a
 rtifact. Secondly\, the PPG is often only indirectly affected by the physi
 ology of interest\, making it a challenge to extract physiological measure
 ments such as blood pressure. This webinar will feature talks from researc
 hers in the field of PPG signal processing\, providing an overview of curr
 ent work in the field and future research directions.\n\nSpeakers:\n\n- Xi
 aorong Ding (University of Electronic Science and Technology of China) wil
 l present on Exploiting Photoplethysmogram Features for Cuffless Blood Pre
 ssure Estimation.\n\n- Ariane Morassi-Sasso (Hasso Plattner Institute) wil
 l present on Predicting blood pressure from photoplethysmography.\n\n- Ser
 ena Zanelli (Paris Sorbonne Nord University) will present a Deep learning 
 approach to detect signal quality from clinical to non-clinical PPG device
 s.\n\nHosted by the Institute of Physics and Engineering in Medicine. Adva
 nced registration required: \nhttps://www.ipem.ac.uk/what-s-on/ipem-events
 /webinar-photoplethysmography-signal-processing/
LOCATION:Online - advance registration required\, see link
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