Muscle fatigue and performance analysis during fundamental laparoscopic surgery tasks

被引:0
作者
Panahi, Ali Keshavarz [1 ]
Cho, Sohyung [1 ]
Awad, Michael M. [2 ]
机构
[1] Southern Illinois Univ, Ind & Mfg Engn, Edwardsville, IL 62026 USA
[2] Washington Univ St Louis, Sch Med, Surg, St Louis, MO 63110 USA
关键词
minimally invasive surgery; MIS; fatigue analysis; recurrence quantification analysis; RQA; FLS task performance analysis; subjective fatigue assessment; TRAPEZIUS MUSCLE; MUSCULOSKELETAL DISORDERS; SHOULDER MUSCLES; MUSCULAR FATIGUE; WORK; ELECTROMYOGRAM; LOAD; NECK; RECRUITMENT; DISCOMFORT;
D O I
10.1504/IJBET.2020.111473
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The goal of this study is to detect muscle fatigue and time-to-fatigue in vulnerable muscle groups, before determining whether the former has any effect on surgical performance. In the experiment, surface electromyography (sEMG) was deployed to record the muscle activations of 12 subjects while performing fundamentals of laparoscopic surgery (FLS) tasks for a total of three hours. In all, 16 muscle groups were tested. The resultant data were then reconstructed using recurrence quantification analysis (RQA). In addition, a subjective fatigue assessment was conducted to draw comparisons with the RQA results. The subjects' performance was also investigated via a FLS task performance analysis, the results demonstrating that RQA can detect muscle fatigue in 12 muscle groups as well as their time-to-fatigue. The results also indicated that RQA and subjective fatigue assessment are very closely correlated (p-value < 0.05). However, the performance analysis results showed that the subjects' performance improved over time.
引用
收藏
页码:234 / 248
页数:15
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