Presenter: Emre Ertin, Ph.D.
Presented: May 21, 2015
About the presentation: Physiological monitoring in the mobile environment can provide visibility into the health status of individuals such as cardio-respiratory state, psychological health, addictive behavior, and patterns of social interaction. Physiological monitoring today, however, require wearing of ECG electrodes, or respiration belts, and are therefore only suitable for small-scale research studies for short-term data collection in the field.
In this talk, we will review our recent efforts in development of non-contact radio-frequency(RF) sensors for unobtrusive monitoring of physiology in the mobile environment that can enable large scale research studies into the potential causes of complex diseases and risky behavior. The talk will give a brief overview of the Easysense sensor design, a low-power micro ultrawideband (UWB) radar platform for monitoring of body composition and heart-lung motion. We will also present algorithms for learning and exploiting subspace structure of high dimensional data from EasySense sensor for detecting and analyzing heart and lung motion.
About the presenter: Emre Ertin, Ph.D., Research Associate Professor with the Department of Electrical and Computer Engineering at The Ohio State University. Dr. Ertin received the B.S. degree in Electrical Engineering and Physics from Bogazici University in Turkey in 1992, the M.Sc. degree in Telecommunication and Signal Processing from Imperial College, U.K. in 1993, and the Ph.D. degree in Electrical Engineering from Ohio State in 1999. From 1999 to 2002 he was with the Core Technology Group at Battelle Memorial Institute. His current research interests are biomedical sensor design and statistical signal processing with application to sensor networks and mobile health.