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.
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container_title 2006 International Conference of the IEEE Engineering in Medicine and Biology Society
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creator Pavel, M.
Hayes, T.L.
Adami, A.
Jimison, H.
Kaye, J.
description 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
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subjects 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
title Unobtrusive Assessment of Mobility
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