ESAT/SCD, Dept. of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium.
Adv Exp Med Biol. 2011;701:353-9. doi: 10.1007/978-1-4419-7756-4_48.
This study looks at various parameters, derived from surface electromyography (sEMG) and Near Infrared Spectroscopy (NIRS) and their relationship in muscle fatigue during a static elbow flexion until exhaustion as well as during a semidynamic exercise.We found a linear increasing trend for a corrected amplitude parameter and a linear decreasing slope for the frequency content of the sEMG signal. The tissue oxygenation index (TOI) extracted from NIRS recordings showed a four-phase response for all the subjects. A strong correlation between frequency content of the sEMG signal and TOI was established. We can conclude that both sEMG and NIRS give complementary information concerning muscle fatigue.
本研究观察了表面肌电图(sEMG)和近红外光谱(NIRS)的各种参数,以及它们在静态肘部伸展直至疲劳以及半动态运动过程中肌肉疲劳的关系。我们发现校正后的幅度参数呈线性增加趋势,sEMG 信号的频率内容呈线性下降趋势。从 NIRS 记录中提取的组织氧合指数(TOI)显示所有受试者均呈四相反应。sEMG 信号的频率内容与 TOI 之间存在很强的相关性。我们可以得出结论,sEMG 和 NIRS 都提供了有关肌肉疲劳的补充信息。