焊接过程中肌肉疲劳分析的肌电图和递归量化分析

A. Panahi, Sohyung Cho, Chris Gordon
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引用次数: 1

摘要

本研究的主要目的是通过评估焊接任务中受试者的肌肉激活来检测肌肉疲劳并识别易受肌肉骨骼疾病影响的肌肉。在这项研究中,六名受试者进行了两种不同的焊接任务,共计三个小时。表面肌电图(sEMG)记录了16块不同肌肉的激活情况。再用递归量化分析(RQA)分析肌电数据。此外,还进行了主观疲劳评估,以与RQA结果进行比较。RQA结果显示,实验前10分钟与实验后10分钟RQA值有显著差异(p值< 0.05),12块被测肌肉出现疲劳。此外,RQA获得的疲劳时间结果与主观分析密切相关。这项研究表明,RQA可以用于人体工程学研究,以评估施工任务时的肌肉激活。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Muscle Fatigue Analysis During Welding Tasks Using sEMG and Recurrence Quantification Analysis
The main goal of this study was to detect muscle fatigue and to identify muscles vulnerable to musculoskeletal disorders by evaluating muscle activation of subjects during welding tasks. In this study, six subjects performed two different welding tasks for a total of three hours. Surface electromyography (sEMG) was used to record the muscle activation of sixteen different muscles. Recurrence Quantification Analysis (RQA) was then used to analyze the EMG data. In addition, a subjective fatigue assessment was conducted to draw comparisons with the RQA results. According to the RQA results, twelve of the tested muscles experienced fatigue by showing significant difference in RQA values (p-value < 0.05) between the first and last 10 minutes of the experiment. Moreover, time-to-fatigue results obtained from RQA and subjective analysis were closely correlated for seven muscle groups. This study showed that RQA can be used in ergonomic studies for evaluating muscle activation during construction tasks.
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