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Comparing Gait with Multiple Physical Asymmetries Using Consolidated Metrics
Physical changes such as leg length discrepancy, the addition of a mass at the distal end of the leg, the use of a prosthetic, and stroke frequently result in an asymmetric gait. This paper presents a metric that can potentially serve as a benchmark to categorize and differentiate between multiple a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816825/ https://www.ncbi.nlm.nih.gov/pubmed/29487520 http://dx.doi.org/10.3389/fnbot.2018.00002 |
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author | Ramakrishnan, Tyagi Lahiff, Christina-Anne Reed, Kyle B. |
author_facet | Ramakrishnan, Tyagi Lahiff, Christina-Anne Reed, Kyle B. |
author_sort | Ramakrishnan, Tyagi |
collection | PubMed |
description | Physical changes such as leg length discrepancy, the addition of a mass at the distal end of the leg, the use of a prosthetic, and stroke frequently result in an asymmetric gait. This paper presents a metric that can potentially serve as a benchmark to categorize and differentiate between multiple asymmetric bipedal gaits. The combined gait asymmetry metric (CGAM) is based on modified Mahalanobis distances, and it utilizes the asymmetries of gait parameters obtained from motion capture and force data recorded during human walking. The gait parameters that were used in this analysis represent spatio-temporal, kinematic, and kinetic parameters. This form of a consolidated metric will help researchers identify overall gait asymmetry by showing them if the overall gait symmetry is improving and avoid the case where one parameter's symmetry is improving while another is getting worse. The CGAM metric successfully served as a measure for overall symmetry with eleven different gait parameters and successfully showed differences among gait with multiple physical asymmetries. The results showed that mass at the distal end had a larger magnitude on overall gait asymmetry compared to leg length discrepancy. It also showed that the combined effects are varied based on the cancelation effect between gait parameters. The metric was also successful in delineating the differences of prosthetic gait and able-bodied gait at three different walking velocities. |
format | Online Article Text |
id | pubmed-5816825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58168252018-02-27 Comparing Gait with Multiple Physical Asymmetries Using Consolidated Metrics Ramakrishnan, Tyagi Lahiff, Christina-Anne Reed, Kyle B. Front Neurorobot Neuroscience Physical changes such as leg length discrepancy, the addition of a mass at the distal end of the leg, the use of a prosthetic, and stroke frequently result in an asymmetric gait. This paper presents a metric that can potentially serve as a benchmark to categorize and differentiate between multiple asymmetric bipedal gaits. The combined gait asymmetry metric (CGAM) is based on modified Mahalanobis distances, and it utilizes the asymmetries of gait parameters obtained from motion capture and force data recorded during human walking. The gait parameters that were used in this analysis represent spatio-temporal, kinematic, and kinetic parameters. This form of a consolidated metric will help researchers identify overall gait asymmetry by showing them if the overall gait symmetry is improving and avoid the case where one parameter's symmetry is improving while another is getting worse. The CGAM metric successfully served as a measure for overall symmetry with eleven different gait parameters and successfully showed differences among gait with multiple physical asymmetries. The results showed that mass at the distal end had a larger magnitude on overall gait asymmetry compared to leg length discrepancy. It also showed that the combined effects are varied based on the cancelation effect between gait parameters. The metric was also successful in delineating the differences of prosthetic gait and able-bodied gait at three different walking velocities. Frontiers Media S.A. 2018-02-13 /pmc/articles/PMC5816825/ /pubmed/29487520 http://dx.doi.org/10.3389/fnbot.2018.00002 Text en Copyright © 2018 Ramakrishnan, Lahiff and Reed. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Ramakrishnan, Tyagi Lahiff, Christina-Anne Reed, Kyle B. Comparing Gait with Multiple Physical Asymmetries Using Consolidated Metrics |
title | Comparing Gait with Multiple Physical Asymmetries Using Consolidated Metrics |
title_full | Comparing Gait with Multiple Physical Asymmetries Using Consolidated Metrics |
title_fullStr | Comparing Gait with Multiple Physical Asymmetries Using Consolidated Metrics |
title_full_unstemmed | Comparing Gait with Multiple Physical Asymmetries Using Consolidated Metrics |
title_short | Comparing Gait with Multiple Physical Asymmetries Using Consolidated Metrics |
title_sort | comparing gait with multiple physical asymmetries using consolidated metrics |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816825/ https://www.ncbi.nlm.nih.gov/pubmed/29487520 http://dx.doi.org/10.3389/fnbot.2018.00002 |
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