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Ambient Intelligence for Monitoring Alzheimer Patients

Ambient Intelligence for Monitoring Alzheimer Patients

Walid Bourennane, Yoann Charlon, Fehd Bettahar, Marie Chan, Daniel Esteve, Eric Campo
Copyright: © 2013 |Volume: 4 |Issue: 1 |Pages: 13
ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781466630918|DOI: 10.4018/jehmc.2013010103
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MLA

Bourennane, Walid, et al. "Ambient Intelligence for Monitoring Alzheimer Patients." IJEHMC vol.4, no.1 2013: pp.23-35. http://doi.org/10.4018/jehmc.2013010103

APA

Bourennane, W., Charlon, Y., Bettahar, F., Chan, M., Esteve, D., & Campo, E. (2013). Ambient Intelligence for Monitoring Alzheimer Patients. International Journal of E-Health and Medical Communications (IJEHMC), 4(1), 23-35. http://doi.org/10.4018/jehmc.2013010103

Chicago

Bourennane, Walid, et al. "Ambient Intelligence for Monitoring Alzheimer Patients," International Journal of E-Health and Medical Communications (IJEHMC) 4, no.1: 23-35. http://doi.org/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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