A proposal of a fall detection algorithm for a Multidevice Personal Intelligent Platform

In this paper methodological and design issues about the development of a personal platform for the control and processing of data acquired from intelligent biomedical sensors are presented. This platform is designed in the context of a telehealthcare system for the elderly with chronic diseases, an...

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Published in2008 8th IEEE International Symposium on BioInformatics and BioEngineering Vol. 8; pp. 1 - 4
Main Authors Estudillo-Valderrama, M.A., Roa, L.M., Reina-Tosina, J., Naranjo-Hernandez, D.
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 2008
Subjects
Biomedical monitoring
Biosensors
Design methodology
Detection algorithms
Diseases
Intelligent sensors
Patient monitoring
Process control
Proposals
Senior citizens
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ISBN1424428440
9781424428441
DOI10.1109/BIBE.2008.4696756

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Summary:In this paper methodological and design issues about the development of a personal platform for the control and processing of data acquired from intelligent biomedical sensors are presented. This platform is designed in the context of a telehealthcare system for the elderly with chronic diseases, and one of its objectives is to monitor and detect fall events. The main feature of the device is its on-line personalization to the patient through adaptive knowledge generation in real-time, which will result in special time execution requirements. As a result a fall detection algorithm proposal is described and analyzed.
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ISBN:1424428440
9781424428441
DOI:10.1109/BIBE.2008.4696756