Formulation of perceived muscle fatigue based on elbow flexion task

Muscle fatigue should be quantitatively evaluated in order to design an optimum work environment and work-rest scheduling and prevent musculoskeletal disorder of workers. The aim of this study was to formulate a relationship for the dependence of perceived muscle fatigue (PMF) on time and external l...

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Autores principales:	Takanori CHIHARA, Ayana NOZAWA, Akihiko SEO
Formato:	article
Lenguaje:	EN
Publicado:	The Japan Society of Mechanical Engineers 2016
Materias:	ergonomics human engineering muscle fatigue maximum endurance time psychophysiology modeling work environment design optimization Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/9961e57577b1425b8fc527db8b6a585c
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spelling	oai:doaj.org-article:9961e57577b1425b8fc527db8b6a585c2021-11-26T06:53:45ZFormulation of perceived muscle fatigue based on elbow flexion task2187-974510.1299/mej.15-00740https://doaj.org/article/9961e57577b1425b8fc527db8b6a585c2016-07-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/3/4/3_15-00740/_pdf/-char/enhttps://doaj.org/toc/2187-9745Muscle fatigue should be quantitatively evaluated in order to design an optimum work environment and work-rest scheduling and prevent musculoskeletal disorder of workers. The aim of this study was to formulate a relationship for the dependence of perceived muscle fatigue (PMF) on time and external load. Three differential equation models―saturate, non-saturate, and hybrid of saturate and non-saturate―were proposed for the PMF function. An elbow flexion task was performed with varying load amplitude (percent of maximum voluntary contraction, %MVC), and the PMFs were measured every 30 s during the task execution. The three models were applied to the measured PMFs and compared in terms of their PMF prediction accuracy. In addition, the maximum endurance times (METs) predicted by the three models were compared with the existing MET models. The measured result showed that the PMF increased logarithmically at the relatively low %MVC and linearly at the relatively high %MVC. The hybrid model was selected for the PMF function, because it showed a better fit to the measured PMFs and a higher interclass correlation with the existing MET models. Individually approximated PMF functions for males and females did not show an improved accuracy compared with the PMF function for both genders. Therefore, a single PMF function was applied irrespective of the gender.Takanori CHIHARAAyana NOZAWAAkihiko SEOThe Japan Society of Mechanical Engineersarticleergonomicshuman engineeringmuscle fatiguemaximum endurance timepsychophysiologymodelingwork environment designoptimizationMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 3, Iss 4, Pp 15-00740-15-00740 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	ergonomics human engineering muscle fatigue maximum endurance time psychophysiology modeling work environment design optimization Mechanical engineering and machinery TJ1-1570
spellingShingle	ergonomics human engineering muscle fatigue maximum endurance time psychophysiology modeling work environment design optimization Mechanical engineering and machinery TJ1-1570 Takanori CHIHARA Ayana NOZAWA Akihiko SEO Formulation of perceived muscle fatigue based on elbow flexion task
description	Muscle fatigue should be quantitatively evaluated in order to design an optimum work environment and work-rest scheduling and prevent musculoskeletal disorder of workers. The aim of this study was to formulate a relationship for the dependence of perceived muscle fatigue (PMF) on time and external load. Three differential equation models―saturate, non-saturate, and hybrid of saturate and non-saturate―were proposed for the PMF function. An elbow flexion task was performed with varying load amplitude (percent of maximum voluntary contraction, %MVC), and the PMFs were measured every 30 s during the task execution. The three models were applied to the measured PMFs and compared in terms of their PMF prediction accuracy. In addition, the maximum endurance times (METs) predicted by the three models were compared with the existing MET models. The measured result showed that the PMF increased logarithmically at the relatively low %MVC and linearly at the relatively high %MVC. The hybrid model was selected for the PMF function, because it showed a better fit to the measured PMFs and a higher interclass correlation with the existing MET models. Individually approximated PMF functions for males and females did not show an improved accuracy compared with the PMF function for both genders. Therefore, a single PMF function was applied irrespective of the gender.
format	article
author	Takanori CHIHARA Ayana NOZAWA Akihiko SEO
author_facet	Takanori CHIHARA Ayana NOZAWA Akihiko SEO
author_sort	Takanori CHIHARA
title	Formulation of perceived muscle fatigue based on elbow flexion task
title_short	Formulation of perceived muscle fatigue based on elbow flexion task
title_full	Formulation of perceived muscle fatigue based on elbow flexion task
title_fullStr	Formulation of perceived muscle fatigue based on elbow flexion task
title_full_unstemmed	Formulation of perceived muscle fatigue based on elbow flexion task
title_sort	formulation of perceived muscle fatigue based on elbow flexion task
publisher	The Japan Society of Mechanical Engineers
publishDate	2016
url	https://doaj.org/article/9961e57577b1425b8fc527db8b6a585c
work_keys_str_mv	AT takanorichihara formulationofperceivedmusclefatiguebasedonelbowflexiontask AT ayananozawa formulationofperceivedmusclefatiguebasedonelbowflexiontask AT akihikoseo formulationofperceivedmusclefatiguebasedonelbowflexiontask
_version_	1718409735637565440

Formulation of perceived muscle fatigue based on elbow flexion task

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