Journal
TWENTIETH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS
Volume -, Issue -, Pages 193-+Publisher
IEEE COMPUTER SOC
DOI: 10.1109/CBMS.2007.95
Keywords
-
Ask authors/readers for more resources
Advances in technology allow the continuous physiological monitoring of people using non-invasive sensors. An important issue in this context is the real-time analysis of physiological signals performed on mobile devices, which requires optimized power consumption and short processing response time. The SAPhyRA framework performs real-time stream analysis for physiological risk assessment. To this aim, the framework evaluates people's health conditions by analyzing different clinical signals in a sliding time window. Given historical physiological measures, different models of patients and diseases are built. The most suitable model for the current monitored patient is exploited in the real nine stream classification phase. Preliminary experiments performed on public physiological data show the effectiveness and flexibility of the proposed approach.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available