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 |
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01.06.2018
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Abstract | 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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AbstractList | 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. 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 (R2 > 0.89). The fatigue rates identified from the model fitting were normally distributed (Mean = 0.96 min-1, SD = 0.29 min-1). 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.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 (R2 > 0.89). The fatigue rates identified from the model fitting were normally distributed (Mean = 0.96 min-1, SD = 0.29 min-1). 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. 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 (R2 > 0.89). The fatigue rates identified from the model fitting were normally distributed (Mean = 0.96 min-1, SD = 0.29 min-1). 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. |
Author | Zhang, Zhanwu Liu, Bin Ma, Liang Chen, Chi |
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Cites_doi | 10.1016/j.ergon.2008.05.003 10.1080/00140139.2013.851283 10.1080/001401300184495 10.1080/10803548.2015.1017961 10.1016/S0169-8141(98)00039-0 10.1097/00042752-200305000-00006 10.1016/j.jbiomech.2008.07.013 10.1201/b12565-23 10.1016/j.jbiomech.2012.04.018 10.1080/00140130903389068 10.1152/jappl.1981.51.1.1 10.1177/0018720817695194 10.1080/00140139408963641 10.1080/00140138608967237 10.1080/00140130701674430 10.1016/0003-6870(73)90166-X 10.1016/j.ergon.2010.11.005 10.1007/s13679-014-0105-z 10.1152/japplphysiol.00893.2003 10.1016/j.jbiomech.2011.02.016 10.1016/j.jelekin.2013.06.005 10.1080/00140139408963690 10.1152/jappl.2001.91.6.2686 10.1016/S0006-3495(02)75580-X 10.1097/JES.0b013e3181aa63e2 10.1111/aot.2011.58.issue-2 10.1080/00140139.2014.952347 10.1016/j.ergon.2012.08.006 10.1016/S0165-0270(97)02251-6 10.1016/j.ergon.2005.08.003 10.1016/j.ergon.2011.10.004 10.1080/00140130802479812 10.1016/j.ergon.2008.04.004 10.1016/j.apergo.2014.07.007 10.1002/(ISSN)1097-4598 10.1080/15459624.2017.1334902 10.1002/mus.v48.3 |
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Title | Experimental validation of a subject-specific maximum endurance time model |
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