Dr. Chengyu LiuProfessor, State Key Laboratory of Bioelectronics, School of Instrument Science and Engineering, Southeast University, Nanjing, China
Director, Wearable Heart-Sleep-Emotion Intelligent Monitoring Lab, Southeast University, Nanjing, China
Speech Title: Wearable ECG Intelligent Monitoring: Data, Algorithm and Clinical Applications
Abstract: Real-time, long-term wearable ECG monitoring is essential for early detecting the cardiovascular diseases and other health risks, such as sleep disorders and emotion problems. This talk presents the important aspects about wearable ECG study, and summarizes the technology challenges exist in each aspect. High-quality well-labelled database is needed, which plays an essential role in training reliable and generalizable models. Herein, the open-access and carefully labeled databases will be starved. Challenges from algorithm aspect include: real-time signal quality assessment, robust & accurate feature detection and explainable & generalizable AI-based disease detection model development. Finally, the efficient clinical applications are also important, which refer to the specially designed clinical studies (such as atrial fibrillation detection) with the close cooperation with doctors.
Keywords: Wearable ECG, Monitoring, atrial fibrillation
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 Interim Director of the School of Instrument Science and Engineering in Southeast University, a Professor of the State Key Laboratory of Bioelectronics, 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 also serves as the founding chair for the annual China Physiological Signal Challenge (from 2018). He is now a member of Federation Journal Committee of International Federation for Medical and Biological Engineering (IFMBE), a member of the 10th Council of Chinese Society of Biomedical Engineering (CSBME), and serve as an Executive Editorial Board member for Physiological Measurement, an Associate Editor for Medical & Biological Engineering & Computing, an International Advisory Editorial Board member for Journal of Medical and Biological Engineering, an Associate Editor for Journal of Mechanics in Medicine and Biology, an Editorial Board member for Journal of Biomedical Engineering (in Chinese), etc. He has published more than 250 original Journal/Conference papers, and holds more than 30 patents as an inventor. He won the title of “2017 Young Scientist” from the Lenovo Group (only one per two years). His team obtained the first place for the 2019 PhysioNet/Computing in Cardiology Challenge, and obtained the Champion of the 2018 International Competition of Shenzhen Medical Health Big-data in Application Innovation Group. 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.