Experimental validation of a subject-specific maximum endurance time model
This study aimed at experimentally validating a subject-specific maximum endurance time (MET) model. Thirty health participants (15 males and 15 females; Age: mean = 21.5 years, SD = 1.6 years) volunteered to conduct an isometric elbow flexion task until exhaustion. The endurance times of each parti...
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Published in | Ergonomics Vol. 61; no. 6; pp. 806 - 817 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Taylor & Francis LLC
01.06.2018
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Subjects | |
Online Access | Get full text |
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Summary: | This study aimed at experimentally validating a subject-specific maximum endurance time (MET) model. Thirty health participants (15 males and 15 females; Age: mean = 21.5 years, SD = 1.6 years) volunteered to conduct an isometric elbow flexion task until exhaustion. The endurance times of each participant were measured under relative exertion levels ranging from 30% MVC (Maximum Voluntary Contraction) to 70% MVC at 10% intervals. Assessment of the model showed that the intensity-endurance time relationship for each studied individual could be well fitted by the subject-specific MET model (R
> 0.89). The fatigue rates identified from the model fitting were normally distributed (Mean = 0.96 min
, SD = 0.29 min
). In addition, the fatigue rates of the male group were significantly higher than the female group. The subject-specific MET model can be used to predict the MET for individual workers, and further support physical task design, based on the fatigability data of a targeted worker population. Practitioner Summary: Ergonomists have extensively used MET models in physical fatigue assessment and physical task design. A subject-specific MET model could be used to predict the MET at individual levels, and also to support work design for a target worker population, based on the fatigability data distribution obtained from sampled workers. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Undefined-3 |
ISSN: | 0014-0139 1366-5847 1366-5847 |
DOI: | 10.1080/00140139.2017.1416180 |