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Gait assessment using wearable sensor-based devices in people living with dementia: A systematic review

journal contribution
posted on 2024-11-03, 13:08 authored by Yehuda Weizman, Oren TiroshOren Tirosh, Jeanie Beh, Franz Fuss, Sonja Pedell
The ability of people living with dementia to walk independently is a key contributor to their overall well-being and autonomy. For this reason, understanding the relationship between dementia and gait is significant. With rapidly emerging developments in technology, wearable devices offer a portable and affordable alternative for healthcare experts to objectively estimate kine-matic parameters with great accuracy. This systematic review aims to provide an updated overview and explore the opportunities in the current research on wearable sensors for gait analysis in adults over 60 living with dementia. A systematic search was conducted in the following scientific data-bases: PubMed, Cochrane Library, and IEEE Xplore. The targeted search identified 1992 articles that were potentially eligible for inclusion, but, following title, abstract, and full-text review, only 6 articles were deemed to meet the inclusion criteria. Most studies performed adequately on measures of reporting, in and out of a laboratory environment, and found that sensor-derived data are successful in their respective objectives and goals. Nevertheless, we believe that additional studies utilizing standardized protocols should be conducted in the future to explore the impact and usefulness of wearable devices in gait-related characteristics such as fall prognosis and early diagnosis in people living with dementia.

History

Journal

International Journal of Environmental Research and Public Health

Volume

18

Number

12735

Issue

23

Start page

1

End page

14

Total pages

14

Publisher

MDPI AG

Place published

Switzerland

Language

English

Copyright

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Former Identifier

2006128238

Esploro creation date

2024-02-28

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