Literature DB >> 26018327

A modified version of the three-compartment model to predict fatigue during submaximal tasks with complex force-time histories.

Michael W Sonne1, Jim R Potvin1.   

Abstract

The three-compartment model (3CM) was validated previously for prediction of endurance times by modifying its fatigue and recovery rates. However, endurance times do not typically represent work demands, and it is unknown if the current version of the 3CM is applicable for ergonomics analysis of all occupational tasks. The purpose of this study was to add biological fidelity to the 3CM, and validate the model against a series of submaximal force plateaus. The fatigue and recovery rates were modified to represent graded physiological motor unit characteristics (termed 3CM(GMU)). In nine experiments of submaximal efforts, the 3CM(GMU) produced a root-mean squared difference (RMSD) of 4.1 ± 0.5% MVC over experiments with an average strength loss (i.e., fatigue) of 31.0 ± 1.1% MVC. The 3CM(GMU) model performed poorly for endurance tasks. The 3CM(GMU) model is an improvement for evaluating submaximal force patterns consisting of intermittent muscle contractions of the hand and forearm. PRACTITIONER
SUMMARY: We modified an existing fatigue model using known physiological properties in order to predict fatigue during nine different submaximal force profiles; consistent with efforts seen in industrial work. We expect this model to be included in digital human modelling software, for the assessment of repetitive work and muscle fatigue in repetitive tasks. SOCIAL MEDIA Summary: The proposed model has applications for estimating task fatigue in proactive ergonomic analyses of complex force patterns using digital human models.

Entities:  

Keywords:  ergonomics; modelling; muscle fatigue

Mesh:

Year:  2015        PMID: 26018327     DOI: 10.1080/00140139.2015.1051597

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  5 in total

1.  A phenomenological model of the time course of maximal voluntary isometric contraction force for optimization of complex loading schemes.

Authors:  Johannes L Herold; Christian Kirches; Johannes P Schlöder
Journal:  Eur J Appl Physiol       Date:  2018-09-04       Impact factor: 3.078

2.  Modification of a three-compartment muscle fatigue model to predict peak torque decline during intermittent tasks.

Authors:  John M Looft; Nicole Herkert; Laura Frey-Law
Journal:  J Biomech       Date:  2018-06-18       Impact factor: 2.712

3.  Mathematical Models of Localized Muscle Fatigue: Sensitivity Analysis and Assessment of Two Occupationally-Relevant Models.

Authors:  Ehsan Rashedi; Maury A Nussbaum
Journal:  PLoS One       Date:  2015-12-14       Impact factor: 3.240

4.  A motor unit-based model of muscle fatigue.

Authors:  Jim R Potvin; Andrew J Fuglevand
Journal:  PLoS Comput Biol       Date:  2017-06-02       Impact factor: 4.475

5.  Adapting a fatigue model for shoulder flexion fatigue: Enhancing recovery rate during intermittent rest intervals.

Authors:  John M Looft; Laura A Frey-Law
Journal:  J Biomech       Date:  2020-04-28       Impact factor: 2.712

  5 in total

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