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Relationship between gait stability indices and gait parameters comprising joint angles based on walking data from 288 people
Stability during walking is essential because falling accidents may lead to severe injuries. In this study, we calculated the margin of stability (MoS) and the maximum Lyapunov exponent (λ(s)), which are two major stability indices for walking, using a gait database representing 300 healthy people....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nagoya University
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281842/ https://www.ncbi.nlm.nih.gov/pubmed/37346831 http://dx.doi.org/10.18999/nagjms.85.2.211 |
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author | Inagaki, Takashi Akiyama, Yasuhiro Okamoto, Shogo Mayumi, Takuya Yamada, Yoji |
author_facet | Inagaki, Takashi Akiyama, Yasuhiro Okamoto, Shogo Mayumi, Takuya Yamada, Yoji |
author_sort | Inagaki, Takashi |
collection | PubMed |
description | Stability during walking is essential because falling accidents may lead to severe injuries. In this study, we calculated the margin of stability (MoS) and the maximum Lyapunov exponent (λ(s)), which are two major stability indices for walking, using a gait database representing 300 healthy people. Previously, the relationships between these indices and other gait parameters, including joint angles, have not been investigated in such a large subject pool. Therefore, we determined the relationships between these stability indices and the gait parameters by calculating correlation coefficients and performing multiple regression analysis. The results indicated that MoS is dominated by walking speed in the forward direction and associated with various joint angles in the lateral direction. Conversely, no relationships were identified between λ(s) and the gait parameters. Although both MoS and λ(s) are considered as measures of gait stability, they are independent. The results of this study suggest that MoS and λ(s) represent different aspects of gait motion. |
format | Online Article Text |
id | pubmed-10281842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nagoya University |
record_format | MEDLINE/PubMed |
spelling | pubmed-102818422023-06-21 Relationship between gait stability indices and gait parameters comprising joint angles based on walking data from 288 people Inagaki, Takashi Akiyama, Yasuhiro Okamoto, Shogo Mayumi, Takuya Yamada, Yoji Nagoya J Med Sci Original Paper Stability during walking is essential because falling accidents may lead to severe injuries. In this study, we calculated the margin of stability (MoS) and the maximum Lyapunov exponent (λ(s)), which are two major stability indices for walking, using a gait database representing 300 healthy people. Previously, the relationships between these indices and other gait parameters, including joint angles, have not been investigated in such a large subject pool. Therefore, we determined the relationships between these stability indices and the gait parameters by calculating correlation coefficients and performing multiple regression analysis. The results indicated that MoS is dominated by walking speed in the forward direction and associated with various joint angles in the lateral direction. Conversely, no relationships were identified between λ(s) and the gait parameters. Although both MoS and λ(s) are considered as measures of gait stability, they are independent. The results of this study suggest that MoS and λ(s) represent different aspects of gait motion. Nagoya University 2023-05 /pmc/articles/PMC10281842/ /pubmed/37346831 http://dx.doi.org/10.18999/nagjms.85.2.211 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view the details of this license, please visit (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Original Paper Inagaki, Takashi Akiyama, Yasuhiro Okamoto, Shogo Mayumi, Takuya Yamada, Yoji Relationship between gait stability indices and gait parameters comprising joint angles based on walking data from 288 people |
title | Relationship between gait stability indices and gait parameters comprising joint angles based on walking data from 288 people |
title_full | Relationship between gait stability indices and gait parameters comprising joint angles based on walking data from 288 people |
title_fullStr | Relationship between gait stability indices and gait parameters comprising joint angles based on walking data from 288 people |
title_full_unstemmed | Relationship between gait stability indices and gait parameters comprising joint angles based on walking data from 288 people |
title_short | Relationship between gait stability indices and gait parameters comprising joint angles based on walking data from 288 people |
title_sort | relationship between gait stability indices and gait parameters comprising joint angles based on walking data from 288 people |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281842/ https://www.ncbi.nlm.nih.gov/pubmed/37346831 http://dx.doi.org/10.18999/nagjms.85.2.211 |
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