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Muscle-driven forward dynamic simulations for the study of normal and pathological gait

There has been much recent interest in the use of muscle-actuated forward dynamic simulations to describe human locomotion. These models simulate movement through the integration of dynamic equations of motion and usually are driven by excitation inputs to muscles. Because motion is effected by indi...

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Detalles Bibliográficos
Autor principal: Piazza, Stephen J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1420307/
https://www.ncbi.nlm.nih.gov/pubmed/16519796
http://dx.doi.org/10.1186/1743-0003-3-5
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author Piazza, Stephen J
author_facet Piazza, Stephen J
author_sort Piazza, Stephen J
collection PubMed
description There has been much recent interest in the use of muscle-actuated forward dynamic simulations to describe human locomotion. These models simulate movement through the integration of dynamic equations of motion and usually are driven by excitation inputs to muscles. Because motion is effected by individual muscle actuators, these simulations offer potential insights into the roles played by muscles in producing walking motions. Better knowledge of the actions of muscles should lead to clarification of the etiology of movement disorders and more effective treatments. This article reviews the use of such simulations to characterize musculoskeletal function and describe the actions of muscles during normal and pathological locomotion. The review concludes by identifying ways in which models must be improved if their potential for clinical utility is to be realized.
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spelling pubmed-14203072006-03-30 Muscle-driven forward dynamic simulations for the study of normal and pathological gait Piazza, Stephen J J Neuroengineering Rehabil Review There has been much recent interest in the use of muscle-actuated forward dynamic simulations to describe human locomotion. These models simulate movement through the integration of dynamic equations of motion and usually are driven by excitation inputs to muscles. Because motion is effected by individual muscle actuators, these simulations offer potential insights into the roles played by muscles in producing walking motions. Better knowledge of the actions of muscles should lead to clarification of the etiology of movement disorders and more effective treatments. This article reviews the use of such simulations to characterize musculoskeletal function and describe the actions of muscles during normal and pathological locomotion. The review concludes by identifying ways in which models must be improved if their potential for clinical utility is to be realized. BioMed Central 2006-03-06 /pmc/articles/PMC1420307/ /pubmed/16519796 http://dx.doi.org/10.1186/1743-0003-3-5 Text en Copyright © 2006 Piazza; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Piazza, Stephen J
Muscle-driven forward dynamic simulations for the study of normal and pathological gait
title Muscle-driven forward dynamic simulations for the study of normal and pathological gait
title_full Muscle-driven forward dynamic simulations for the study of normal and pathological gait
title_fullStr Muscle-driven forward dynamic simulations for the study of normal and pathological gait
title_full_unstemmed Muscle-driven forward dynamic simulations for the study of normal and pathological gait
title_short Muscle-driven forward dynamic simulations for the study of normal and pathological gait
title_sort muscle-driven forward dynamic simulations for the study of normal and pathological gait
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1420307/
https://www.ncbi.nlm.nih.gov/pubmed/16519796
http://dx.doi.org/10.1186/1743-0003-3-5
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