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Ambient Intelligence for Monitoring Alzheimer Patients

Author

Listed:
  • Walid Bourennane

    (Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France)

  • Yoann Charlon

    (Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France)

  • Fehd Bettahar

    (Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France)

  • Marie Chan

    (Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France)

  • Daniel Esteve

    (Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France)

  • Eric Campo

    (Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France)

Abstract

Distributed sensors allow people to be followed in independent living situations. In this paper, the authors present a multisensor system which allows monitoring elderly people in hospital environment. The system is composed of motion infrared sensors installed in the ceiling, presence sensor in bed and ZigBee tags embedded on the person. From data collected on locations and movements of people, the system determines, through learning, the behavior model and lifestyle. Analysis and decision algorithm in integrated systems provide the functionality to choose actions in order to alert surveillance team and help them by providing historical events record. A web application is also set up to display results of data processing allowing caregivers to monitor patient behavior. Here, they present the system architecture, the technology used, and some preliminary results.

Suggested Citation

  • Walid Bourennane & Yoann Charlon & Fehd Bettahar & Marie Chan & Daniel Esteve & Eric Campo, 2013. "Ambient Intelligence for Monitoring Alzheimer Patients," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 4(1), pages 23-35, January.
    • Handle: RePEc:igg:jehmc0:v:4:y:2013:i:1:p:23-35
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