Ambient Intelligence for Monitoring Alzheimer Patients

Ambient Intelligence for Monitoring Alzheimer Patients

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) and Eric Campo (Laboratory for Analysis and Architecture of Systems, University of Toulouse, Toulouse, France)
Copyright: © 2013 |Pages: 13
DOI: 10.4018/jehmc.2013010103
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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.
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Experimental Platform

  • 1.

    Alzheimer unit

A monitoring system for following the status change of people has been implemented in confused people unit in Caussade Hospital in France. This unit is a ground-floor service for seniors who suffer from Alzheimer's disease and have a secure garden promotes walking.

  • 2.

    General architecture

The general architecture of the system consists of two processing units (local and remote) as shown in Figure 1. Local unit is used to collect displacement data in real time via sensors (Infrared (IR),ZigBee) and to store them in a database. It can also generate emergency messages to prevent medical staff if a risk occurs.

Figure 1.

General monitoring platform implemented in Alzheimer’s unit and near outside

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