This webinar is the fourth and final one in the current Photoplethysmography series and will feature talks from researchers in the field of PPG signal processing, providing an overview of current work in the field and future research directions. This event has been organised by PM Sig
This event will go live at 2pm on Thursday 15th September 2022
The photoplethysmogram (PPG) signal contains a wealth of information.
However, there are several challenges to extracting physiological measurements from the PPG. Firstly, the PPG is highly susceptible to noise, which can corrupt the information in the signal. Consequently, much research has focused on assessing PPG signal quality and reducing motion artifact. Secondly, the PPG is often only indirectly affected by the physiology of interest, making it a challenge to extract physiological measurements such as blood pressure.
Xiaorong Ding (University of Electronic Science and Technology of China) will present on Exploiting Photoplethysmogram Features for Cuffless Blood Pressure Estimation.
Serena Zanelli (Paris Sorbonne Nord University) will present on Deep learning approach to detect signal quality from clinical to non-clinical PPG devices
Ariane Morassi-Sasso (Hasso Plattner Institute) will present on Predicting blood pressure from photoplethysmography
RegistrationAttendance is free of charge, but on-line registration in advance is essential.
If you have any queries, please email the IPEM conference team or tel: 01904 550598.