Title :
SAPhyRA: Stream Analysis for Physiological Risk Assessment
Author :
Apiletti, Daniele ; Baralis, Elena ; Bruno, Giulia ; Cerquitelli, Tania
Author_Institution :
Politecnico di Torino, Torino
Abstract :
Advances in technology allow the continuous physiological monitoring of people using noninvasive 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 time stream classification phase. Preliminary experiments performed on public physiological data show the effectiveness and flexibility of the proposed approach.
Keywords :
biosensors; patient monitoring; physiology; risk analysis; clinical signals; diseases; mobile devices; noninvasive sensors; optimized power consumption; patient monitoring; people health evaluation; physiological risk assessment; physiological signals; public physiological data; real time stream classification phase; real-time stream analysis; short processing response time; sliding time window; Biomedical monitoring; Delay; Diseases; Energy consumption; Patient monitoring; Performance analysis; Risk analysis; Risk management; Signal analysis; Signal processing;
Conference_Titel :
Computer-Based Medical Systems, 2007. CBMS '07. Twentieth IEEE International Symposium on
Conference_Location :
Maribor
Print_ISBN :
0-7695-2905-4
DOI :
10.1109/CBMS.2007.95