Unobtrusive Assessment of Mobility

This paper describes a model-based approach to the unobtrusive monitoring of elders in their home environment to assess their health, daily activities, and cognitive function. We present a semi-Markov model representation with automated learning to characterize individual elder's mobility in th...

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Veröffentlicht in:	2006 International Conference of the IEEE Engineering in Medicine and Biology Society 2006, Vol.2006, p.6277-6280
Hauptverfasser:	Pavel, M., Hayes, T.L., Adami, A., Jimison, H., Kaye, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Accelerometers Activities of Daily Living Aged Aging Cities and towns Cognition Costs Environment Geriatric Assessment - methods Geriatrics - methods Health Services for the Aged Home Care Services Humans Legged locomotion Markov Chains Medical services Mobility Limitation Models, Statistical Models, Theoretical Movement Remote monitoring Senior citizens Testing Walking
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Beschreibung
Zusammenfassung:	This paper describes a model-based approach to the unobtrusive monitoring of elders in their home environment to assess their health, daily activities, and cognitive function. We present a semi-Markov model representation with automated learning to characterize individual elder's mobility in the home environment. The assessed mobility can be used to characterize the elder's speed of walking and can serve as one of the predictors of future cognitive functionality and the ability of elders to live independently in their home environment
ISSN:	1557-170X
DOI:	10.1109/IEMBS.2006.260301