Investigation of the relationship between steps required to stop and propulsive force using simple walking models.

Propulsive force Push-off Rimless wheel Simplest walking model Stability

Journal

Journal of biomechanics
ISSN: 1873-2380
Titre abrégé: J Biomech
Pays: United States
ID NLM: 0157375

Informations de publication

Date de publication:
05 2022
Historique:
received: 14 09 2021
revised: 25 03 2022
accepted: 25 03 2022
pubmed: 5 4 2022
medline: 11 5 2022
entrez: 4 4 2022
Statut: ppublish

Résumé

To prevent falls in the elderly, it is essential to evaluate their gait stability and identify factors that negatively affect it. Although one of the probable factors is a decrease in propulsive force of walking, the relationship between the force and the gait stability has not been fully clarified. To this end, two simple walking models were used to investigate the relationship between the propulsive force and the number of steps required to stop, denoted N. N was calculated as the number of steps required for the rimless wheel to stop and was treated as a variable which is an indirect indicator of stability. A lower N corresponds to the gait being closer to a stopped state. The propulsive force was calculated using the push-off impulse applied to the simplest walking model during the step-to-step transition. To account for the effects of the double support phase in human walking, the gravitational impulse, which is the integral of the body weight (gravitational force) over the double support time, was applied to the step-to-step transition equation of the models. The models revealed that the propulsive force is reduced by two factors: the reduction in step length and the reduction in walking speed. In the former, N increases; in the latter, N decreases. The former is consistent with previous experimental results on human gait, whereas the latter has not been experimentally investigated. These results may provide important insights in clarifying the relationship between the stability and the propulsive force in human gait.

Identifiants

pubmed: 35378427
pii: S0021-9290(22)00127-0
doi: 10.1016/j.jbiomech.2022.111071
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

111071

Commentaires et corrections

Type : ErratumIn

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Hajime Ohtsu (H)

Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan; Japan Society for the Promotion of Science, Tokyo, Japan. Electronic address: ohtsu-hajime1@ed.tmu.ac.jp.

Naoto Haraguchi (N)

Graduate School of Systems Design, Tokyo Metropolitan University, Tokyo, Japan. Electronic address: haraguchi-naoto1@ed.tmu.ac.jp.

Kazunori Hase (K)

Faculty of Systems Design, Tokyo Metropolitan University, Tokyo, Japan. Electronic address: kazunori.hase@tmu.ac.jp.

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Classifications MeSH