SACS ´07

Lobodzinski Suave

Body Signal Computing

Recent technological advances in integrated circuits, sensor technology, wireless communications, and embedded physiological signal processing allow for on-the body real-time computing tasks. A seamlessly integrated computing and sensing devices form a Body Signal Computing Network (BSCN), a new enabling technology for in situ body signal computing.

We introduce a wearable multi-sensor, multi-computer system and describe how we optimized our prototype BSCN implementation for computer-assisted real-time cardiac function assessment system. The system performs real-time analysis of sensors' data, provides control signals, generates warnings based on the user's state, level of activity, and environmental conditions. In addition, all recorded information can be transferred to medical servers via the Internet and seamlessly integrated into the user's electronic medical record and research databases.

BSCNs promise inexpensive, unobtrusive, and unsupervised physiological signal processing during normal daily activities for prolonged periods of time. To make this technology practical and affordable, a number of challenging issues should be resolved, such as system design, configuration and customization, seamless integration, standardization, further utilization of common off-the-shelf components, security and privacy, and social issues.

Über Suave Lobodzinski

Professional Experience: Full Professor, California State University - Biomedical Engineering Full Professor, University of California Los Angles (UCLA) - Cardiology Department
http://www.csulb.edu/colleges/coe/ee/views/personnel/fulltime_emeritus/lobodzinski.shtml