Abstract To investigate the relationship between surface electromyography and subjective assessment of muscle fatigue, 20 young male volunteers participated in the experiment of pistol holding and aiming. sEMG of the anterior deltoid was recorded during the entire process, while fatigue assessments (Borg scale) were collected every 30 s. We divided the signal into several parts and then octave band method was used to calculate mean energy of each part, an equation was derived based on the relationship between the mean energy of sEMG and Borg scale. The results showed that the degree of local muscle fatigue could be described by a cubic curve, and could be used to evaluate and monitor muscle fatigue.
Fund:The Opening Foundation of the Science and Technology on Human Factors Engineering Laboratory, Chinese Astronaut Research and Training Center; grant number: HF2011-K-04.
ZU Xiao-qi,LI Yun,ZHOU Qian-xiang. Evaluation of Muscle Fatigue Based on Surface Electromyography and Subjective Assessment[J]. Chinese Journal of Biomedical Engineering, 2017, 26(1): 31-37.
[1] Zhou QX, Wang CH. Review on body assessment of human operation[J]. Space Medicine and Medical Engineering,2009, 22(3):226-230. [2] Shi Jun, Yan Zhuangzhi, Xue Lei, et al. Evaluation of the muscle fatigue based on ultrasound images[C]. Proceedings of the 6th World Congress on Intelligent Control and Automation, 2006: 10332-10336. [3] Niu YP. Research the new method of detecting muscle fatigue by using ultrasound imaging[J]. Journal of Beijing Sport University, 2008, 31(2):205-207. [4] Liu HT, Cao YZ, Xie XB, et al. Estimation of muscle fatigue degree using time-varying auto-regressive model parameter estimation of surface electromyography[J]. Chinese Journal of Biomedical Engineering, 2007, 26:493-497. [5] Kang HG, Dingwell JB. Dynamics and stability of muscle activations during walking in healthy young and older adults[J]. Journal of Biomechanics, 2009, 42(14):2231-2237. [6] Mario C, Vladimir M, Stanko T, et al. Surface EMG based muscle fatigue evaluation in biomechanics[J]. Clinical Biomechanics, 2009, 24:327-340. [7] Ye W, Wang J, Liu JH. The sEMG signal complexity changes during and following local muscle fatigue induced by isometric loading[J]. China Sport Scierce, 2004, 24: 19-23. [8] Wang DM, Wang J, Ge LZ. sEMG Time-frequency analysis techniques for evaluation of muscle fatigue and it's application in ergonomic studies[J]. Space Medicine and Medicinal Engineering, 2003, 16(5):387-390. [9] Zhou QX, Chen YH, Ma C, et al. Evaluation of upper limb muscle fatigue based on surface electromyography[J]. Science China Biomechanics, 2011, 54:939-944.
