Abstract: Real-time, long-term wearable monitoring and AI technologies are essential for early detecting the cardiovascular diseases, emotional and sleep health risks in clinic. This talk presents several important aspects about wearable and AI technologies, and summarizes the technology challenges exist in each aspect, and talks about some new improvements in the intelligent monitoring, machine learning and big data processing for physiological signals, early detection and device development for cardiovascular diseases, sleep quality and emotion status monitoring.

Biography: Dr. Liu received his B.S. and Ph.D. degrees in Biomedical Engineering from Shandong University, China, in 2005 and 2010 respectively. Dr. Liu has completed the Postdoctoral trainings at Shandong University, Newcastle University in UK (2013-2014) and Emory University in USA (2015-2017). He is now the Dean of the School of Instrument Science and Engineering in Southeast University, a Professor of the State Key Laboratory of Digital Medical Engineering, and the founding Director of Wearable Heart-Sleep-Emotion Intelligent Monitoring Lab in Southeast University, leading the research works on medical big-data processing, medical device development and clinical applications. He is now a member of Federation Journal Committee of International Federation for Medical and Biological Engineering (IFMBE), a Council member of Chinese Society of Biomedical Engineering (CSBME), and serve as an Executive Editorial Board member for Physiological Measurement, an Deputy Editor for Medical & Biological Engineering & Computing, an International Advisory Editorial Board member for Journal of Medical and Biological Engineering, an Associate Editor for IEEE Transactions on Instrumentation and Measurement, etc. He has published more than 300 original Journal/Conference papers, and holds more than 30 patents as an inventor. His research topics include: mHealth and intelligent monitoring, machine learning and big data processing for physiological signals, early detection and device development for cardiovascular diseases, sleep quality and emotion status monitoring.