Title :
Comparison of the parameters for muscle fatigue evaluation using surface electromyogram in repetitive exercise
Author :
Youngjin Lee ; GyuJin Bae ; Youngjoon Chee
Author_Institution :
Sch. of Electr. Eng., Univ. of Ulsan, Ulsan, South Korea
Abstract :
This study is to compare the parameters for the quantitative evaluation of muscle fatigue using surface electromyograms (sEMG) in repetitive exercise. Thirty-seven medical staff members performed chest compression for 5 min on a manikin on a bed. sEMG was acquired from 3 muscles while compressing the chest according to the cardiopulmonary resuscitation (CPR) guidelines. sEMG electrodes were attached on the biceps brachii and triceps brachii which are fatigued and on the rhomboideus which is considered to be a non-fatigued muscle. Root mean square (RMS), median frequency (MDF) and one spectral index (FI_nsm5) were calculated to investigate the relationship with the time process, which is correlated with muscle fatigue. For the fatigued muscles, all the three parameters showed significant changes over time, whereas in non-fatigued muscle, none of the three parameters showed any significant change over time. All three parameters were shown to be suitable to assess the muscle fatigue in repetitive exercise. FI_nsm5 was more sensitive than the other two parameters, which may imply that FI_nsm5 is the most sensitive parameter for muscle fatigue among these three parameters.
Keywords :
biomechanics; biomedical electrodes; electromyography; fatigue; mean square error methods; CPR; MDF; RMS; biceps brachii; cardiopulmonary resuscitation guidelines; chest compression; manikin; median frequency; muscle fatigue evaluation; nonfatigued muscle; quantitative evaluation; repetitive exercise; rhomboideus; root mean square; sEMG electrodes; spectral index; surface electromyograms; time 5 min; time process; triceps brachii; Biomechanics; Biomedical engineering; Correlation coefficient; Educational institutions; Electromyography; Fatigue; Muscles;
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on
DOI :
10.1109/IECBES.2014.7047633