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Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review

Author

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  • Yehuda Weizman

    (Department of Health and Medical Science, School of Health Science, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

  • Oren Tirosh

    (Department of Health and Medical Science, School of Health Science, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

  • Jeanie Beh

    (Centre for Design Innovation, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

  • Franz Konstantin Fuss

    (Chair of Biomechanics, Faculty of Engineering Science, University of Bayreuth, D-95440 Bayreuth, Germany)

  • Sonja Pedell

    (Centre for Design Innovation, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

Abstract

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 kinematic 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 databases: 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.

Suggested Citation

  • Yehuda Weizman & Oren Tirosh & Jeanie Beh & Franz Konstantin Fuss & Sonja Pedell, 2021. "Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review," IJERPH, MDPI, vol. 18(23), pages 1-14, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12735-:d:693809
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    References listed on IDEAS

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    1. Alessandro Liberati & Douglas G Altman & Jennifer Tetzlaff & Cynthia Mulrow & Peter C Gøtzsche & John P A Ioannidis & Mike Clarke & P J Devereaux & Jos Kleijnen & David Moher, 2009. "The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-28, July.
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