Unobtrusive Assessment of Mobility

Author

Pavel, Misha ; Hayes, Tamara L. ; Adami, Andre ; Jimison, Holly ; Kaye, Jeffrey

Author_Institution

Biomed. Eng. Dept., Oregon Health & Sci. Univ., Portland, OR

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

6277

Lastpage

6280

Abstract

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

Keywords

cognition; gait analysis; geriatrics; hidden Markov models; home computing; inference mechanisms; learning (artificial intelligence); medical computing; neurophysiology; patient monitoring; telemedicine; automated learning; cognitive function; daily activities; hidden semiMarkov model representation; home environment; model-based inference; unobtrusive elders mobility monitoring; walking; Acceleration; Accelerometers; Aging; Cities and towns; Costs; Legged locomotion; Medical services; Remote monitoring; Senior citizens; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.260301

Filename

4463244