Wearable Sensing and Medical Big Data for Precision Health
Date: 16 December 2019 Time: 10:00 - 10:40
by Professor Ye Li, Shenzhen Institute of Advanced Technologies, China
Abstract: Cardiovascular disease is one of the most significant diseases in China. We work on wearable sensing and medical big data to prevent it. In our previous studies, we proposed the AI-driven cuff-less blood pressure detection based on data fusion for wearable applications. We also developed the low power ECG and EMG chips for wearable devices and remote controls. The spatial-temporal deep neural network for ECG signals was proposed to improve the accuracy of automatic diagnosis of 9 types of cardiac arrhythmias. The developed wearable system has been applied to monitoring the life signal of submerged members in deep manned submersibles and served for more than 3.62 million family users in China. In the area of medical big data analysis, we processed 18 M electronic medical records (EMR) in Shenzhen city, and several cardiovascular disease risk models were developed to provide decision-making aided information for public health management in Shenzhen.
Bio: Professor Ye Li is a world-renowned expert on wearable medical devices and human body sensing. He has gained more than USD 12M in research funding and has authored over 60 peer-reviewed journal papers. Currently, he serves as an editorial board member of Information Fusion journal and international advisory board member of Physiological Measurement journal. He got his Ph.D in Electronic Engineering from Arizona State University, USA, and his MSc and BSc in Information security and engineering from University of Electronic Science and Technology of China.
|Location:||Mile End campus, Bancroft ROAD teaching rooms, 3rd floor, 3.02 (not to be confused with the Bancroft Building, which is on the other side of the campus)|