Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review

Dasgupta, Pritika, Van Swearingen, Jessie, Godfrey, Alan, Redfern, Mark, Montero-Odasso, Manuel and Sejdic, Ervin Sejdic (2021) Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29. pp. 249-261. ISSN 1534-4320

[img]
Preview
Text
09293160.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (1MB) | Preview
[img]
Preview
Text (Advance online version)
09293160.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (6MB) | Preview
[img]
Preview
Text
ReviewPaper_2020_IEEETNSRE_final.pdf - Accepted Version

Download (2MB) | Preview
Official URL: https://doi.org/10.1109/TNSRE.2020.3044260

Abstract

In adults 65 years or older, falls or other neuromotor dysfunctions are often framed as walking-related declines in motor skill; the frequent occurrence of such decline in walking-related motor skill motivates the need for an improved understanding of the motor skill of walking. Simple gait measurements, such as speed, do not provide adequate information about the quality of the body motion’s translation during walking. Gait measures from accelerometers can enrich measurements of walking and motor performance. This review article will categorize the aspects of the motor skill of walking and review how trunk-acceleration gait measures during walking can be mapped to motor skill aspects, satisfying a clinical need to understand how well accelerometer measures assess gait. We will clarify how to leverage more complicated acceleration measures to make accurate motor skill decline predictions, thus furthering fall research in older adults.

Item Type: Article
Uncontrolled Keywords: walking, motor control, motor skill ,movement control, lower trunk acceleration, wearables, gait, clinical informatics, machine learning
Subjects: B900 Others in Subjects allied to Medicine
C600 Sports Science
G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 09 Dec 2020 09:21
Last Modified: 09 Mar 2021 14:00
URI: http://nrl.northumbria.ac.uk/id/eprint/44949

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics