Abstract: As two important challenges to emotional health issues, depression and Alzheimer's disease (AD) are becoming more pronounced. Early detection of depression and AD, continuous daily monitoring outside clinical settings is crucial. Thus, the integration of wearable healthcare systems and artificial intelligence (AI) technologies demonstrates significant potential. This talk summarizes the technology challenges exist in the research domain, including real-time signal quality assessment, robust & accurate feature detection, AI-based disease detection model development, high-quality database for training reliable and generalizable models, as well as the useful practice application refers to the specially designed clinical study with the close cooperation with doctors. The combination of wearable monitoring and AI-based technologies provides a robust means for the early detection of depression and AD. It helps to catch the early signs of the disease, provide timely intervention and treatment programs, and effectively reduce the risk of disease progression.

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.