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作业人员肌肉施力疲劳评价模型 被引量:7

Evaluation model of muscular fatigue for force exertion task
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摘要 为评价施力作业过程中人员肌肉疲劳状态,建立基于肌力(F)的主观肌肉疲劳评价模型。通过模拟拉车作业试验获得不同时刻拉力值以及手臂和腰部主观肌肉疲劳评分(RPE),归一化处理肌力降幅(FD)值,以消除个体差异;通过相关性分析方法研究肌力降幅归一化值(NFD)与RPE之间的关系;通过回归性分析方法,分别构建以NFD为自变量的手臂与腰部RPE回归方程(即RPE—NFD回归方程),并研究手臂与腰部PRE随时间变化特征。结果表明:RPE与NFD显著线性正相关;RPE-NFD回归方程能够描述施力作业过程中RPE随FD变化的情况;所建评价模型能反映肌肉疲劳随时间发展的特征,并可用以获得作业人员不同施力作业以及不同作业时间下的RPE值。 A force (F)based evaluation model for subjective muscular fatigue was developed to explore workers'development of muscular fatigue during force exertion tasks.Firstly,pull strength and RPE for arm and waist over time period were obtained by simulated pulling tasks.Then,FD was normalized to describe the variation among participants.Secondly,the relationship between normalized FD (NFD)and RPE was analyzed by correlation analysis.Lastly,RPE regression equations (RPE-NFD regression equation)using the NFD as independent variable for arm and waist,respectively,were constructed via regression analysis.Also,the change of RPE along with time was analyzed.Results showed that RPE of arm and waist were both positive linear with NFD and that RPE regression equations were reasonable to describe the RPE-NFD relationships during force exertion tasks.Also,the constructed evaluation model of muscular fatigue for force exertion task was capable of showing the development of muscular fatigue. According to this model,RPE over time could be obtained for force exertion tasks.
作者 胡鸿 易灿南 李开伟 唐范 左华丽 陈成锋 HU Hong;YI Cannan;LI Kaiway;TANG Fan;ZUO Huali;CHEN Chengfeng(School of Safety&Environmental Engineering,Hunan Institute of Technology,Hengyang Hunan 421102,China;Department of Industrial Management, Chung Hua University,Taiwan 30012,China)
出处 《中国安全科学学报》 CAS CSCD 北大核心 2018年第10期79-85,共7页 China Safety Science Journal
基金 国家自然科学基金资助(71801089) 湖南省自然科学基金资助(2017JJ3054) 教育部大学生研究性学习和创新性实验计划项目(201711528005) 湖南省教育厅科学研究项目(16C0449)
关键词 肌肉疲劳 施力作业 主观肌肉疲劳评分(RPE) 肌力降幅(FD) 评价模型 muscular fatigue force exertion task ratings of perceived exertion(RPE) force decrease(FD) evaluation model
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