Intelligent Wellness Sensing and Health Informatics
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 AI technology has inspired the innovation on intelligent designs for healthcare.
The novel intelligent wellness sensing 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 platform, 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 intelligent wellness sensing, machine learning, 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.
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. She received B. Eng. degree and M. Eng. degree from Xian Jiaotong University, China. She obtained her Ph.D. degree in 2007 from the University of Melbourne, Australia. She worked at Bell Laboratories Germany, Alcatel-Lucent, Stuttgart, Germany as an intern in 2005. From 2007 to 2015, she was an Assistant Professor at Eindhoven University of Technology, the Netherlands. Since Oct. 2015, she has been a full professor and director of Center for Intelligent Medical Electronics at Fudan University, China.
Her research interests include health monitoring system design for people from neonates to elderly, patient health monitoring, sleep monitoring, brain activity monitoring, wireless body area networks, artificial intelligence, biomedical signal processing, and ambient intelligence. She has published two books as the main editor and she has more than two hundred publications in prestigious journals and international conferences. She has been the supervisor for more than 15 PhD candidates and more than 20 master students. 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) key R&D projects, Shanghai Municipal of Science and Technology Major project. She is Senior Member of IEEE, associate editor of IEEE Journal on Biomedical Health Informatics (J-BHI) and IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), and the Managing Editor of the IEEE Reviews in Biomedical Engineering (R-BME).