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Muscle Fatigue Analysis During Welding Tasks Using sEMG and Recurrence Quantification Analysis
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Author(s): Ali Keshavarz Panahi (Nova Southeastern University, USA), Sohyung Cho (Southern Illinois University, Edwardsville, USA)and Chris Gordon (Southern Illinois University, Edwardsville, USA)
Copyright: 2021
Volume: 8
Issue: 1
Pages: 16
Source title:
International Journal of Applied Industrial Engineering (IJAIE)
Editor(s)-in-Chief: Sadaya Kubo (Setsunan University, Japan)
DOI: 10.4018/IJAIE.287609
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Abstract
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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