Estimation of quasi-stiffness and propulsive work of the human ankle in the stance phase of walking.

Characterizing the quasi-stiffness and work of lower extremity joints is critical for evaluating human locomotion and designing assistive devices such as prostheses and orthoses intended to emulate the biological behavior of human legs. This work aims to establish statistical models that allow us to...

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Autores principales: Kamran Shamaei, Gregory S Sawicki, Aaron M Dollar
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Publicado: Public Library of Science (PLoS) 2013
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Acceso en línea:https://doaj.org/article/ec3dffc7d31b4bb0aba07ba861d3e266
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spelling oai:doaj.org-article:ec3dffc7d31b4bb0aba07ba861d3e2662021-11-18T07:52:25ZEstimation of quasi-stiffness and propulsive work of the human ankle in the stance phase of walking.1932-620310.1371/journal.pone.0059935https://doaj.org/article/ec3dffc7d31b4bb0aba07ba861d3e2662013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23555839/?tool=EBIhttps://doaj.org/toc/1932-6203Characterizing the quasi-stiffness and work of lower extremity joints is critical for evaluating human locomotion and designing assistive devices such as prostheses and orthoses intended to emulate the biological behavior of human legs. This work aims to establish statistical models that allow us to predict the ankle quasi-stiffness and net mechanical work for adults walking on level ground. During the stance phase of walking, the ankle joint propels the body through three distinctive phases of nearly constant stiffness known as the quasi-stiffness of each phase. Using a generic equation for the ankle moment obtained through an inverse dynamics analysis, we identify key independent parameters needed to predict ankle quasi-stiffness and propulsive work and also the functional form of each correlation. These parameters include gait speed, ankle excursion, and subject height and weight. Based on the identified form of the correlation and key variables, we applied linear regression on experimental walking data for 216 gait trials across 26 subjects (speeds from 0.75-2.63 m/s) to obtain statistical models of varying complexity. The most general forms of the statistical models include all the key parameters and have an R(2) of 75% to 81% in the prediction of the ankle quasi-stiffnesses and propulsive work. The most specific models include only subject height and weight and could predict the ankle quasi-stiffnesses and work for optimal walking speed with average error of 13% to 30%. We discuss how these models provide a useful framework and foundation for designing subject- and gait-specific prosthetic and exoskeletal devices designed to emulate biological ankle function during level ground walking.Kamran ShamaeiGregory S SawickiAaron M DollarPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 3, p e59935 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Kamran Shamaei
Gregory S Sawicki
Aaron M Dollar
Estimation of quasi-stiffness and propulsive work of the human ankle in the stance phase of walking.
description Characterizing the quasi-stiffness and work of lower extremity joints is critical for evaluating human locomotion and designing assistive devices such as prostheses and orthoses intended to emulate the biological behavior of human legs. This work aims to establish statistical models that allow us to predict the ankle quasi-stiffness and net mechanical work for adults walking on level ground. During the stance phase of walking, the ankle joint propels the body through three distinctive phases of nearly constant stiffness known as the quasi-stiffness of each phase. Using a generic equation for the ankle moment obtained through an inverse dynamics analysis, we identify key independent parameters needed to predict ankle quasi-stiffness and propulsive work and also the functional form of each correlation. These parameters include gait speed, ankle excursion, and subject height and weight. Based on the identified form of the correlation and key variables, we applied linear regression on experimental walking data for 216 gait trials across 26 subjects (speeds from 0.75-2.63 m/s) to obtain statistical models of varying complexity. The most general forms of the statistical models include all the key parameters and have an R(2) of 75% to 81% in the prediction of the ankle quasi-stiffnesses and propulsive work. The most specific models include only subject height and weight and could predict the ankle quasi-stiffnesses and work for optimal walking speed with average error of 13% to 30%. We discuss how these models provide a useful framework and foundation for designing subject- and gait-specific prosthetic and exoskeletal devices designed to emulate biological ankle function during level ground walking.
format article
author Kamran Shamaei
Gregory S Sawicki
Aaron M Dollar
author_facet Kamran Shamaei
Gregory S Sawicki
Aaron M Dollar
author_sort Kamran Shamaei
title Estimation of quasi-stiffness and propulsive work of the human ankle in the stance phase of walking.
title_short Estimation of quasi-stiffness and propulsive work of the human ankle in the stance phase of walking.
title_full Estimation of quasi-stiffness and propulsive work of the human ankle in the stance phase of walking.
title_fullStr Estimation of quasi-stiffness and propulsive work of the human ankle in the stance phase of walking.
title_full_unstemmed Estimation of quasi-stiffness and propulsive work of the human ankle in the stance phase of walking.
title_sort estimation of quasi-stiffness and propulsive work of the human ankle in the stance phase of walking.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/ec3dffc7d31b4bb0aba07ba861d3e266
work_keys_str_mv AT kamranshamaei estimationofquasistiffnessandpropulsiveworkofthehumanankleinthestancephaseofwalking
AT gregoryssawicki estimationofquasistiffnessandpropulsiveworkofthehumanankleinthestancephaseofwalking
AT aaronmdollar estimationofquasistiffnessandpropulsiveworkofthehumanankleinthestancephaseofwalking
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