Prof. Wei Chen
Topic: Intelligent Wellness Sensing
Abstract：Many challenges exist in health monitoring and management, such as continuous, accurate, and comfortable monitoring of multi-parameters, early detection and warning of diseases, as well as the interaction with environments. The challenges in healthcare raise health risks and imposes significant economic and social burden. Thus, seeking for the innovative solutions and new technologies to address these issues is very important. The development of modern sensors, Internet of Things, advanced materials, machine learning and data fusion technology has inspired the innovation on intelligent designs for healthcare.
In this talk, advanced flexible sensor networks and their application for smart health are presented. The novel Health IoT platforms seamlessly integrate smart sensing technologies, data fusion techniques, advanced materials, and clinical practice. Physiological signs, behaviors and environmental information can be obtained effectively. By jointly analyzing physiological behavior parameters with environmental interaction information and using data fusion technology, the health-related activities can be identified. With Intelligent Wellness Sensing, personal health monitoring and forecasting will be provided assisting to develop personal healthcare plan, and guide people towards a healthier lifestyle. The multi-disciplinary research on Internet of Things, machine learning, smart sensing system and biomedical signal processing will bring new development for improving the quality of life for people ranging from babies to aging population during their everyday life, and have long term social impact. Example projects in the areas of sleep monitoring, brain signal analysis, neonatal monitoring, and activity monitoring will be introduced.
Biography
Prof. Wei Chen is Professor, Director of Center of Intelligent Medical Electronics at School of Information Science and Technology, and Director of the Physiological Signal and Sleep platform in the Human Phenome Institute, Fudan University.
From 2007 to 2015, she was an Assistant Professor at Eindhoven University of Technology, the Netherlands. From 2009 to 2013, she served as Chair of the Theme Health Care at the Department of Industrial Design, Eindhoven University of Technology, the Netherlands. Since Oct. 2015, she has been a full professor and director of Center of Intelligent Medical Electronics at Department of Electronic Engineering, School of Information Science and Technology, and the director of the Physiological Signal and Sleep platform in the Human Phenome Institute, Fudan University.
Her research interests include medical monitoring system design using wearable sensors, patient health monitoring, sleep monitoring, brain activity monitoring, wireless body area networks, ambient intelligence, personalized and smart environment, smart sensor systems, and signal processing. She has been the supervisor for more than 10 PhD candidates and graduated 5 PhD students, among them 3 with Cum Laude. She has published two books as the main editor and she has more than one hundred publications in prestigious journals and international conferences. As PI and co-PI Prof. Chen successfully led more than ten projects including EU H2020, STW NL, and China Minister of Science and Technology (MOST) projects. Currently, as PI she is the consortium leader of one MOST major project and one Shanghai Municipal of Science and Technology project; as co-PI she is conducting one Shanghai Municipal of Science and Technology Major project and participating one EU H2020 project. She is a Senior Member of IEEE and associate editor of IEEE Journal on Biomedical Health Informatics (J-BHI).
