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The relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke

[Purpose] Limited literature has investigated the relationships between acceleration-based gait characteristics and kinematic information from motion analysis systems in gait analysis. The purpose of this study is to determine whether acceleration-based gait characteristics were associated with gait...

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Autores principales: Yen, Chu-Ling, Chang, Ku-Chou, Wu, Ching-Yi, Hsieh, Yu-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Society of Physical Therapy Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698468/
https://www.ncbi.nlm.nih.gov/pubmed/31528001
http://dx.doi.org/10.1589/jpts.31.638
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author Yen, Chu-Ling
Chang, Ku-Chou
Wu, Ching-Yi
Hsieh, Yu-Wei
author_facet Yen, Chu-Ling
Chang, Ku-Chou
Wu, Ching-Yi
Hsieh, Yu-Wei
author_sort Yen, Chu-Ling
collection PubMed
description [Purpose] Limited literature has investigated the relationships between acceleration-based gait characteristics and kinematic information from motion analysis systems in gait analysis. The purpose of this study is to determine whether acceleration-based gait characteristics were associated with gait characteristics by motion analysis systems in patients with stroke. [Participants and Methods] Seventeen patients with stroke walked along a 10-m-long walkway at their comfortable speed. Trunk acceleration was measured with an accelerometer. Several reflective markers over bony landmarks on the lower extremities were used to capture movements. We evaluated the correlations of variables calculated between the trunk accelerometers and the motion analysis system. [Results] Walking speed was positively correlated with harmonic ratios along the anteroposterior axis and stride regularity along the vertical and anteroposterior axes. Harmonic ratios were associated with the stance phase percent on the unaffected side. Stride regularity was associated with the stance phase percent on both sides. Smaller interstride variability was associated with smaller peak ankle plantarflexion during both phases and greater peak ankle dorsiflexion during swing phase. Stride regularity is positively associated with maximal knee flexion during swing phase. [Conclusion] Relationships with spatiotemporal and joint kinematic parameters from the motion analysis system support the potential use of accelerometers.
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spelling pubmed-66984682019-09-16 The relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke Yen, Chu-Ling Chang, Ku-Chou Wu, Ching-Yi Hsieh, Yu-Wei J Phys Ther Sci Original Article [Purpose] Limited literature has investigated the relationships between acceleration-based gait characteristics and kinematic information from motion analysis systems in gait analysis. The purpose of this study is to determine whether acceleration-based gait characteristics were associated with gait characteristics by motion analysis systems in patients with stroke. [Participants and Methods] Seventeen patients with stroke walked along a 10-m-long walkway at their comfortable speed. Trunk acceleration was measured with an accelerometer. Several reflective markers over bony landmarks on the lower extremities were used to capture movements. We evaluated the correlations of variables calculated between the trunk accelerometers and the motion analysis system. [Results] Walking speed was positively correlated with harmonic ratios along the anteroposterior axis and stride regularity along the vertical and anteroposterior axes. Harmonic ratios were associated with the stance phase percent on the unaffected side. Stride regularity was associated with the stance phase percent on both sides. Smaller interstride variability was associated with smaller peak ankle plantarflexion during both phases and greater peak ankle dorsiflexion during swing phase. Stride regularity is positively associated with maximal knee flexion during swing phase. [Conclusion] Relationships with spatiotemporal and joint kinematic parameters from the motion analysis system support the potential use of accelerometers. The Society of Physical Therapy Science 2019-08-09 2019-08 /pmc/articles/PMC6698468/ /pubmed/31528001 http://dx.doi.org/10.1589/jpts.31.638 Text en 2019©by the Society of Physical Therapy Science. Published by IPEC Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Article
Yen, Chu-Ling
Chang, Ku-Chou
Wu, Ching-Yi
Hsieh, Yu-Wei
The relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke
title The relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke
title_full The relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke
title_fullStr The relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke
title_full_unstemmed The relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke
title_short The relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke
title_sort relationship between trunk acceleration parameters and kinematic characteristics during walking in patients with stroke
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698468/
https://www.ncbi.nlm.nih.gov/pubmed/31528001
http://dx.doi.org/10.1589/jpts.31.638
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