Abstract
Body sensor networks provide a platform for ubiquitous healthcare, driving the diagnosis in hospital static environment to the daily life dynamic context. We realized the importance of sensing of activities, which is not only a dimension of human health but also important context information for diagnosis based on the physiologic data. This paper presents our ubiquitous healthcare system, uCare. It consists of uCare devices and a server system. Currently, the uCare system is designed for cardiovascular disease (CVD) examination and management. The uCare device has been tested in a trial in Beijing Hospital. The uCare system will be further tested in elderly care at home and exercise management in training to measure heart dynamics during training.
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Shaofeng WANG received his B.S. degree in Software Engineering from Nankai University, China. He is currently a M.S. student of Electrical Engineering at the Graduate University, Chinese Academy of Sciences. Currently, he is working at the Sensor Networks and Application Joint Research Center, Graduate University and Institute of Automation, Chinese Academy of Sciences. His research interests focus on dynamic ECG signal processing under various activity intensities and new applications on body sensor network.
Lianying JI received his B.S. degree in Communication Engineering from Dalian Maritime University, Dalian, China, and Ph.D. in Signal and Information Processing from Beijing Institute of Technology, Beijing, China. Since 2009, he work as a postdoctoral fellow in Sensor Network Application and Research Center of Chinese Academy of Sciences. His research interests include ELINT systems and body sensor network.
Aiguang LI received his B.E. degree in Electronic Engineering from the Beijing Institute of Technology, Beijing, China, in 2008. Currently, he is pursuing his M.E. degree of Computer Sciences Engineering at the Graduate University, Chinese Academy of Sciences. His research interests focus on body sensor networks for patient monitoring and biomedical signal processing.
Jiankang WU received his B.S. from University of Science and Technology of China, and Ph.D. from Tokyo University. He is currently a professor at the Graduate University, Chinese Academy of Sciences. He is directing the Sensor Networks and Applications Research Center (SNARC), which is jointly operated by the Graduate University and Institute of Automation, Chinese Academy of Sciences. Prior to his current position, he was Principal Scientist and Department Manager of New Initiatives Department at the Institute for Infocomm Research (I2R), Singapore (known as Kent Ridge Digital Labs (KRDL) in 1998–2001 and Institute of System Science (ISS) before 1998). He created new research initiatives in the areas of NeuroInformatics and PhysioInformatics, embedded sensor network systems in I2R, and led a series of large international collaborative projects in KRDL and ISS. He was a full-time professor in University of Science and Technology of China (USTC) until 1993, where he received 9 distinguished awards from the nation and Chinese Academy of Sciences. He has also worked in universities in U.S., U.K., Germany, France, and Japan.
Dr. Wu pioneered several researches in the area of visual information processing, including adaptive image coding in later 70s, object-oriented GIS in early 80s, face recognition technology in 1992, content-based multimedia indexing and retrieval in 90s, and rights management for multimedia contents in later 90s. He initiated and led 3 large international collaborative labs. He was regarded as “an exceptionally bright visionary” by U.S. Giga Information Group. He is an author of 18 patents, more than 100 papers and 5 books.
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Wang, S., Ji, L., Li, A. et al. Body sensor networks for ubiquitous healthcare. J. Control Theory Appl. 9, 3–9 (2011). https://doi.org/10.1007/s11768-011-0236-7
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DOI: https://doi.org/10.1007/s11768-011-0236-7