Gait analysis in neurological populations: Progression in the use of wearables

Celik, Yunus, Stuart, Sam, Woo, Wai Lok and Godfrey, Alan (2020) Gait analysis in neurological populations: Progression in the use of wearables. Medical Engineering & Physics. ISSN 1350-4533 (In Press)

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Official URL: https://doi.org/10.1016/j.medengphy.2020.11.005

Abstract

Gait assessment is an essential tool for clinical applications not only to diagnose different neurological conditions but also to monitor disease progression as it contributes to the understanding of underlying deficits. There are established methods and models for data collection and interpretation of gait assessment within different pathologies. This narrative review aims to depict the evolution of gait assessment from observation and rating scales to wearable sensors and laboratory technologies, and provide possible future directions. In this context, we first present an extensive review of current clinical outcomes and gait models. Then, we demonstrate commercially available wearable technologies with their technical capabilities along with their use in gait assessment studies for various neurological conditions. In the next sections, a descriptive knowledge for existing inertial based algorithms and a sign based guide that shows the outcomes of previous neurological gait assessment studies are presented. Finally, we state a discussion for the use of wearables in gait assessment and speculate the possible research directions by revealing the limitations and knowledge gaps in the literature.

Item Type: Article
Uncontrolled Keywords: Free-living, Gait Analysis, Instrumentation, Wearable technology
Subjects: B800 Medical Technology
B900 Others in Subjects allied to Medicine
C600 Sports Science
G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Faculties > Health and Life Sciences > Sport, Exercise and Rehabilitation
Depositing User: John Coen
Date Deposited: 12 Nov 2020 10:24
Last Modified: 16 Nov 2020 09:30
URI: http://nrl.northumbria.ac.uk/id/eprint/44741

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