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Situation-Aware Ambient Assisted Living and Ambient Intelligence Data Integration for Efficient Eldercare

Situation-Aware Ambient Assisted Living and Ambient Intelligence Data Integration for Efficient Eldercare
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Author(s): Werner Kurschl (Upper Austria University of Applied Sciences, Austria), Mario Buchmayr (Upper Austria University of Applied Sciences, Austria), Barbara Franz (Upper Austria University of Applied Sciences, Austria) and Margit Mayr (Upper Austria University of Applied Sciences, Austria)
Copyright: 2012
Pages: 34
Source title: E-Healthcare Systems and Wireless Communications: Current and Future Challenges
Source Author(s)/Editor(s): Mohamed K. Watfa (University of Wollongong, UAE)
DOI: 10.4018/978-1-61350-123-8.ch015

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Abstract

Pervasive healthcare systems are designed to support elderly and care-dependent people to live an independent life. Recent developments are driven by technological advances of wireless sensor networks and mobile devices, which ease their application in the health- and homecare domain. The integration into pervasive healthcare systems helps to improve the impact and the efficiency of eldercare, while keeping financial efforts at a moderate level. The importance of these issues leads to the development of systems covering situation-aware, ambient assisted living and health data exchange between care institutions and ambient assistant solutions. Various projects within the Ambient Assisted Living (AAL) domain have proven that remarkable results can be achieved by using wireless sensor technology and mobile devices for data collection, but there are still several problems concerning the exchange and integration of healthcare data. This chapter gives an overview about AAL, healthcare related standards, and state of the art approaches for data integration. In addition, best practice projects, which deal with patient-oriented care information, ambient assisted living, as well as ambient intelligence, are covered.

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