• DocumentCode
    2954060
  • Title

    SAPhyRA: Stream Analysis for Physiological Risk Assessment

  • Author

    Apiletti, Daniele ; Baralis, Elena ; Bruno, Giulia ; Cerquitelli, Tania

  • Author_Institution
    Politecnico di Torino, Torino
  • fYear
    2007
  • fDate
    20-22 June 2007
  • Firstpage
    193
  • Lastpage
    198
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2007. CBMS '07. Twentieth IEEE International Symposium on
  • Conference_Location
    Maribor
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2905-4
  • Type

    conf

  • DOI
    10.1109/CBMS.2007.95
  • Filename
    4262649