Ambulatory Monitoring: Extending Healthcare Service to Daily Life
Talk starts at 10:40AM An ambulatory monitoring system with on-body and near-body wearable sensors is introduced in this presentation. Distributed sensor data is transferred through a wireless body area network (BAN) to a central controller for real time analysis. Physiological and environmental parameters are derived even noise and motion artifacts presenting. Using prevailing clinical guidelines for self-management of environmentally-linked pulmonary ailments, the system provides patients with reminders, warnings, and instructions to reduce emergency room and physician visits, and improve clinical outcomes. Chronic disease management application is given as an example, the system also can be used for sleep monitoring and senior people monitoring.
Dr. Fu is currently a senior research scientist at Sharp Labs of America. His research group focuses on personal healthcare system using digital signal processing, machine learning, body sensor network and wearable sensing technologies; he is awarded the invention of the year in 2009. Prior joining Sharp, he also worked in Siemens Medical Solutions and Welch Allyn Medical Monitoring System. He has 15 papers in the fields of physiological monitoring with optical and acoustical sensing and motion analysis; he currently has 19 U.S. pending Patents. He is a senior member of IEEE and severs as several conference committee member and journal reviewer for IEEE and SPIE. Yongji Fu received his B.S degree in 1999 and M.S degree in 2002 from Tsinghua University, China and PhD degree in 2008 from Oregon Health and Science University, US; all three degrees are in biomedical engineering.