AIoT for Comprehensive Physiological Monitoring: From Electrophysiology to Motor Function

Prof. Rosa Chan, Associate Professor, City University of Hong Kong

Date: 13 June 2024 (Thursday)
Time: 10:00-10:25am HKT
Venue: Cheung On Tak Lecture Theater (LT-E), HKUST
Title: AIoT for Comprehensive Physiological Monitoring: From Electrophysiology to Motor Function
Speaker: Prof. Rosa Chan, Associate Professor, City University of Hong Kong

Abstract

AIoT is advancing health and performance assessment by offering low-cost solutions for continuous and portable physiological monitoring. This talk focuses on critical physiological and behavioral metrics, including electroencephalogram (EEG), electrocardiogram (ECG), electromyogram (EMG), and movement patterns. In particular, these metrics provide comprehensive insights into the biological neural system by reflecting brain activities, cerebro-cardiovascular health, and neuromuscular coordination. Utilizing common sensors such as electrodes and inertial measurement units, AIoT facilitates seamless analysis across diverse environments, including clinical settings, daily living activities, and athletic performace. Drawing from collaborative research efforts, this presentation illustrates key applications in health monitoring, fitness, sports science, and rehabilitation. Through data-driven feedback, AIoT significantly enhances well-being, optimizes athletic performance, prevents injuries, and supports effective recovery strategies.

Biography

Dr. Rosa H. M. Chan is an Associate Professor in the Department of Electrical Engineering at City University of Hong Kong. Her research interests include computational neuroscience, neural prosthesis, and human-computer interaction. She received a B. Eng. (1st Hon.) degree in Automation and Computer-Aided Engineering from The Chinese University of Hong Kong in 2003. She was later awarded the Croucher Scholarship and Sir Edward Youde Memorial Fellowship for Overseas Studies in 2004. She received her Ph. D. degree in Biomedical Engineering in 2011 from the University of Southern California, where she also earned her M. S. degrees in Biomedical Engineering, Electrical Engineering, and Aerospace Engineering. She was the co-recipient of the Outstanding Paper Award of IEEE Transactions on Neural Systems and Rehabilitation Engineering in 2013, for their research breakthroughs in mathematical modeling for cognitive prosthesis.

Currently, Dr. Chan serves as the Vice President of Finance for the IEEE Engineering in Medicine and Biology Society (EMBS). She chaired the Hong Kong-Macau Joint Chapter of IEEE EMBS in 2014, and elected to the IEEE EMBS Administrative Committee (AdCom) as Asia Pacific Representative (2018-2022). Currently, she is an associate editor of IEEE Reviews in Biomedical Engineering, serves on the editorial board the Journal of Neural Engineering and IEEE Open Journal of Engineering in Medicine and Biology.