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Models for temporal-spatial parameters in walking with cadence ratio as the independent variable

Accurate models that describe temporal-spatial parameters are desirable in gait estimation and rehabilitation. This study aimed to explore simple but relatively accurate models to describe stride length (SL), speed (SP) and walk ratio (WR) at various cadences. Twenty-four able-bodied participants (1...

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Autores principales: Fang, Juan, Mu, Zaile, Xu, Zhonghua, Xie, Le, Yang, Guo-Yuan, Zhang, Qiuju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449492/
https://www.ncbi.nlm.nih.gov/pubmed/30465322
http://dx.doi.org/10.1007/s11517-018-1919-8
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author Fang, Juan
Mu, Zaile
Xu, Zhonghua
Xie, Le
Yang, Guo-Yuan
Zhang, Qiuju
author_facet Fang, Juan
Mu, Zaile
Xu, Zhonghua
Xie, Le
Yang, Guo-Yuan
Zhang, Qiuju
author_sort Fang, Juan
collection PubMed
description Accurate models that describe temporal-spatial parameters are desirable in gait estimation and rehabilitation. This study aimed to explore simple but relatively accurate models to describe stride length (SL), speed (SP) and walk ratio (WR) at various cadences. Twenty-four able-bodied participants (16 in a test group and 8 in a validation group) walked at seven cadence ratios (CRs). The individual and group mean SL, SP and WR were studied. Suitable temporal-spatial model structures were proposed and used to approximate the individual SL, SP and WR at various CRs. After the temporal-spatial model structures were found to be feasible, the general temporal-spatial models were analysed using the test group mean SL, SP and WR. Accuracy was assessed using the validation group mean values. Individual approximation accuracies showed that the proposed model structure deduced from the linear SL model was suitable for WR approximation. The linear, deduced quadratic and power functions approximated the individual SL, SP and WR, respectively, with high accuracy. Based on the test group mean SL, SP and WR, the general temporal-spatial models were obtained and produced comparable approximation accuracies in the validation group. The general temporal-spatial models predicted well the individual gait parameters with similar individual errors for both groups. These temporal-spatial models clearly describe SL, SP and especially WR at various cadences. They provide accurate reference data for gait estimation and have potential to guide speed modulation in robot-assisted gait rehabilitation. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11517-018-1919-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-64494922019-04-17 Models for temporal-spatial parameters in walking with cadence ratio as the independent variable Fang, Juan Mu, Zaile Xu, Zhonghua Xie, Le Yang, Guo-Yuan Zhang, Qiuju Med Biol Eng Comput Original Article Accurate models that describe temporal-spatial parameters are desirable in gait estimation and rehabilitation. This study aimed to explore simple but relatively accurate models to describe stride length (SL), speed (SP) and walk ratio (WR) at various cadences. Twenty-four able-bodied participants (16 in a test group and 8 in a validation group) walked at seven cadence ratios (CRs). The individual and group mean SL, SP and WR were studied. Suitable temporal-spatial model structures were proposed and used to approximate the individual SL, SP and WR at various CRs. After the temporal-spatial model structures were found to be feasible, the general temporal-spatial models were analysed using the test group mean SL, SP and WR. Accuracy was assessed using the validation group mean values. Individual approximation accuracies showed that the proposed model structure deduced from the linear SL model was suitable for WR approximation. The linear, deduced quadratic and power functions approximated the individual SL, SP and WR, respectively, with high accuracy. Based on the test group mean SL, SP and WR, the general temporal-spatial models were obtained and produced comparable approximation accuracies in the validation group. The general temporal-spatial models predicted well the individual gait parameters with similar individual errors for both groups. These temporal-spatial models clearly describe SL, SP and especially WR at various cadences. They provide accurate reference data for gait estimation and have potential to guide speed modulation in robot-assisted gait rehabilitation. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11517-018-1919-8) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-11-21 2019 /pmc/articles/PMC6449492/ /pubmed/30465322 http://dx.doi.org/10.1007/s11517-018-1919-8 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Fang, Juan
Mu, Zaile
Xu, Zhonghua
Xie, Le
Yang, Guo-Yuan
Zhang, Qiuju
Models for temporal-spatial parameters in walking with cadence ratio as the independent variable
title Models for temporal-spatial parameters in walking with cadence ratio as the independent variable
title_full Models for temporal-spatial parameters in walking with cadence ratio as the independent variable
title_fullStr Models for temporal-spatial parameters in walking with cadence ratio as the independent variable
title_full_unstemmed Models for temporal-spatial parameters in walking with cadence ratio as the independent variable
title_short Models for temporal-spatial parameters in walking with cadence ratio as the independent variable
title_sort models for temporal-spatial parameters in walking with cadence ratio as the independent variable
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449492/
https://www.ncbi.nlm.nih.gov/pubmed/30465322
http://dx.doi.org/10.1007/s11517-018-1919-8
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