Abstract: Smart physiological sensing have become a powerful tool to extend healthcare services from hospital to daily life for patients with chronic diseases, to improve their life quality and reduce healthcare costs by avoiding disease exacerbation and other short term and long term consequences. Wearable sensors enable ambulatory monitoring of disease specific physiological parameters (e.g. heart rate, blood glucose, blood pressure). Acquired physiological signal is transferred through a body area network (BAN) to a central device such as a smartphone for data processing and review. Innovative signal processing algorithms are developed to overcome challenges in ambulatory monitoring such as motion artifacts and ambient noises. Patient’s disease status is estimated in real time to guide medication reminder, caregiver notification or automatic drug delivery. In this talk, a number of sensing technologies (optical, acoustical, electrical), wireless BAN communication protocols and large scale data mining, decision making and closed loop control algorithms will be reviewed. Finally, several disease management systems will be introduced to address different chronic diseases such as diabetes, asthma, and COPD.