Muscle force prediction method considering the role of antagonistic muscle based on a coupled spring model

The prediction of muscle forces is very important in order to evaluate the physical loads during human motion. Although a number of musculoskeletal models, which can predict muscle forces during motion, have been proposed, these models use the optimization method, in which the sum of the predicted m...

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Autores principales:	Yuki DAIJU, Isamu NISHIDA, Keiichi SHIRASE
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2019
Materias:	computer human model musculoskeletal model redundant muscles antagonist muscle surface electromyograms Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/ec3f9f287dbd49cbb0d80fc4e215de5e
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spelling	oai:doaj.org-article:ec3f9f287dbd49cbb0d80fc4e215de5e2021-11-29T05:45:37ZMuscle force prediction method considering the role of antagonistic muscle based on a coupled spring model2187-974510.1299/mej.18-00456https://doaj.org/article/ec3f9f287dbd49cbb0d80fc4e215de5e2019-06-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/6/4/6_18-00456/_pdf/-char/enhttps://doaj.org/toc/2187-9745The prediction of muscle forces is very important in order to evaluate the physical loads during human motion. Although a number of musculoskeletal models, which can predict muscle forces during motion, have been proposed, these models use the optimization method, in which the sum of the predicted muscle forces is minimized. However, unfortunately, the optimization method does not usually consider the role of antagonistic muscles, which act in a direction opposite to the prime motion or for restriction of rotational joint motion. Therefore, the present study proposes a new method to predict muscle forces considering the role of the antagonistic muscle during human motion. The present study proposes a new model, in which the agonist muscle is assumed to be connected to the antagonistic muscle by a coupled spring. Joint torque is defined as the summation of both the torques derived from the agonist muscles and the torques derived from the antagonistic muscles. Each muscle force can be predicted in order to maintain balance among the torques generated by the agonist muscles and the antagonistic muscles, respectively. Experiments were conducted in order to validate the proposed method of predicting muscle forces. Surface electromyograms (sEMGs) were measured for comparison with the predicted muscle forces. The experimental results showed that the predicted muscle forces agreed well with the sEMGs of muscles.Yuki DAIJUIsamu NISHIDAKeiichi SHIRASEThe Japan Society of Mechanical Engineersarticlecomputer human modelmusculoskeletal modelredundant musclesantagonist musclesurface electromyogramsMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 6, Iss 4, Pp 18-00456-18-00456 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	computer human model musculoskeletal model redundant muscles antagonist muscle surface electromyograms Mechanical engineering and machinery TJ1-1570
spellingShingle	computer human model musculoskeletal model redundant muscles antagonist muscle surface electromyograms Mechanical engineering and machinery TJ1-1570 Yuki DAIJU Isamu NISHIDA Keiichi SHIRASE Muscle force prediction method considering the role of antagonistic muscle based on a coupled spring model
description	The prediction of muscle forces is very important in order to evaluate the physical loads during human motion. Although a number of musculoskeletal models, which can predict muscle forces during motion, have been proposed, these models use the optimization method, in which the sum of the predicted muscle forces is minimized. However, unfortunately, the optimization method does not usually consider the role of antagonistic muscles, which act in a direction opposite to the prime motion or for restriction of rotational joint motion. Therefore, the present study proposes a new method to predict muscle forces considering the role of the antagonistic muscle during human motion. The present study proposes a new model, in which the agonist muscle is assumed to be connected to the antagonistic muscle by a coupled spring. Joint torque is defined as the summation of both the torques derived from the agonist muscles and the torques derived from the antagonistic muscles. Each muscle force can be predicted in order to maintain balance among the torques generated by the agonist muscles and the antagonistic muscles, respectively. Experiments were conducted in order to validate the proposed method of predicting muscle forces. Surface electromyograms (sEMGs) were measured for comparison with the predicted muscle forces. The experimental results showed that the predicted muscle forces agreed well with the sEMGs of muscles.
format	article
author	Yuki DAIJU Isamu NISHIDA Keiichi SHIRASE
author_facet	Yuki DAIJU Isamu NISHIDA Keiichi SHIRASE
author_sort	Yuki DAIJU
title	Muscle force prediction method considering the role of antagonistic muscle based on a coupled spring model
title_short	Muscle force prediction method considering the role of antagonistic muscle based on a coupled spring model
title_full	Muscle force prediction method considering the role of antagonistic muscle based on a coupled spring model
title_fullStr	Muscle force prediction method considering the role of antagonistic muscle based on a coupled spring model
title_full_unstemmed	Muscle force prediction method considering the role of antagonistic muscle based on a coupled spring model
title_sort	muscle force prediction method considering the role of antagonistic muscle based on a coupled spring model
publisher	The Japan Society of Mechanical Engineers
publishDate	2019
url	https://doaj.org/article/ec3f9f287dbd49cbb0d80fc4e215de5e
work_keys_str_mv	AT yukidaiju muscleforcepredictionmethodconsideringtheroleofantagonisticmusclebasedonacoupledspringmodel AT isamunishida muscleforcepredictionmethodconsideringtheroleofantagonisticmusclebasedonacoupledspringmodel AT keiichishirase muscleforcepredictionmethodconsideringtheroleofantagonisticmusclebasedonacoupledspringmodel
_version_	1718407619908993024

Muscle force prediction method considering the role of antagonistic muscle based on a coupled spring model

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