TY - JOUR
T1 - Acceleration Gait Measures as Proxies for Motor Skill of Walking: A Narrative Review
AU - Dasgupta, Pritika
AU - Van Swearingen,, Jessie
AU - Godfrey, Alan
AU - Redfern, Mark
AU - Montero-Odasso, Manuel
AU - Sejdic, Ervin
N1 - Research funded by U.S. National Library of Medicine (4T15LM007059-30) | Royal Academy of Engineering (FoESF1819T621) | National Institutes of Health (R21 HD079254U01 AG061393) | Canadian Institutes of Health Research (PJT 153100CIHR; MOP 211220) | Ontario Ministry of Research and Innovation (ER11–08–101) | Consortium canadien en neurodégénérescence associée au vieillissement (FRN CNA 137794) | Pittsburgh Claude D. Pepper Older Americans Independence Center (NIA P30 AG 024827) | National Institutes on Aging (R01 AG041745-01R01 AG057671-01) | Ontario Neurodegenerative Diseases Research Initiative (OBI 34739) | Department of Medicine Program of Experimental Medicine Research Award, University of Western Ontario (POEM 768915)
PY - 2021/3/1
Y1 - 2021/3/1
N2 - 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.
AB - 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.
KW - walking
KW - motor control
KW - motor skill
KW - movement control
KW - lower trunk acceleration
KW - wearables
KW - gait
KW - clinical informatics
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=85098766173&partnerID=8YFLogxK
U2 - 10.1109/TNSRE.2020.3044260
DO - 10.1109/TNSRE.2020.3044260
M3 - Article
SN - 1534-4320
VL - 29
SP - 249
EP - 261
JO - IEEE Transactions on Neural Systems and Rehabilitation Engineering
JF - IEEE Transactions on Neural Systems and Rehabilitation Engineering
ER -