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Distributed intelligent architecture for falling detection and physical activity analysis in the elderly.

Proceedings of the Second Joint EMBS/BMES Conference 2002, 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society

Author: Prado, M., Reina Tosina, J., Roa, L.
Year: 2002
Type: Conference Paper


A novel approach for the detection of falls, the analysis of body postures, mobility and metabolic energy expenditure of elderly people has been developed. It is based on a distributed intelligence architecture, supported by it wireless personal area network (WPAN) which allows a full 24-hour supervision of the user, both indoor and outdoor home. An open design methodology lets the addition of new sensors for the on-line monitorization or other biosignals. In this paper general guidelines and design issues are reported, with special emphasis on the Intelligent Accelerometer Unit (IAU), based on a four-axis accelerometer, the signals of which are transmitted to the WPAN server (PSE) for on-line processing. The availability of three axis in the median plane provides an inclination measurement with high sensibility. The IAU can be worn like a patch, fixed to the back, at the height of the sacrum. A prototype of the IAU is currently under validation phase, in order to optimize signal transmission between IAU and PSE.

Further Details

Pages 1910-1911
Accession Number 26.2.04
Keywords older, safety improvement, telecommunication, design

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