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Title:
Optimal Parameters for Rapid Evaluation of Muscle Fatigue Degree by Surface Electromyography
Authors:  Youde Ding, M.M., Suqi Zhou, B.S., Lixiao Zeng, B.S., and Jing Sun, B.S.
  Objective: To analyze the indexes and methods for evaluating the fatigue degree of oral and maxillofacial muscle groups quickly and effectively based on the multiparameter information of surface electromyography (EMG) in different parts.
Study Design:
Sixteen healthy volunteers (8 male and 8 female) were enrolled in the study of surface electromyographic activities of anterior temporal muscle (TA) and masseter muscle (MM) maximum occlusion at the intercuspal position. The largest Lyapunov exponent (LLE), median frequency (MDF), mean power frequency (MPF), and root mean square (RMS) value of surface EMG of masseter muscle and anterior temporal muscle at different time points were analyzed and calculated. Muscle fatigue was evaluated by McGill Pain Questionnaire (MPQ) score. According to the receiver operating characteristic curve (ROC), the area under the curve (AUC) was used to seek the optimal correlation index of muscle fatigue degree, and we further explored the corresponding detection method, detection site, and gender caused by the difference.
Results:
The RMS values of the left and right sides of the anterior temporal muscle were significantly different at 0, 5, 10, 15, 20, 25, and 45 minutes between male and female, but the parameters of the left and right sides of masseter muscles were significantly different only at some time points. In terms of distinguishing the left and right oral and maxillofacial muscle groups, there were significant differences in the RMS of the left and right masseter muscles at multiple time points without distinguishing the gender groups. When differentiating the male and female sexes, the detection of the left and right masseter muscle fatigue degree by RMS electromyography at the long-term observation points also showed a good statistical significance. In terms of MPQ score and evaluation statistics, the RMS of the right temporal anterior muscle was better than the LLE. The RMS of the right EMG of the anterior temporal muscle is a good indicator, especially in the short-term muscle fatigue period and long-term muscle fatigue period. The LLE of the left temporal anterior muscle was better than the RMS. The RMS of the right masseter muscle was better than the LLE. RMS of left masseter muscle was better than the LLE overall.
Conclusion:
The RMS parameter was a good indicator for gender differentiation, distinguishing different parts, and evaluating muscle fatigue.
Keywords:  anterior temporal muscle, facial muscles, largest Lyapunov exponent, masseter muscle, mastication, root mean square, surface electromyography
   
   
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