Kellis Eleftherios, Kouvelioti Vasiliki, Ioakimidis Panagiotis
Department of Physical Education and Sport Science at Serres, Aristotle University of Thessaloniki, TEFAA Serres, Agios Ioannis, Serres 62100, Greece.
Neurosci Lett. 2005 Aug 5;383(3):266-71. doi: 10.1016/j.neulet.2005.04.038. Epub 2005 Apr 26.
Although the use of practicable EMG-moment models for knee joint moment prediction appears promising, the repeatability of the estimated forces remains unclear. The purpose of this study was to apply an EMG-moment model to predict the antagonist moment of the knee flexors (Mflx) during maximal isometric knee extension efforts. Nine healthy males performed maximal isometric knee extension and flexion contractions at 0 degrees , 45 degrees and 90 degrees angles with recordings of the net moment and EMG of thigh muscles. Calibration knee flexion efforts were performed at different levels of intensity and the resulting EMG-moment curves were fitted using second-order polynomials. The polynomials were then used to predict Mflx. This procedure was repeated a week after. The results indicated non-significant differences in test-retest Mflx. Intraclass correlation coefficients ranged from 0.852 to 0.912 indicating high test-retest reliability of the estimated Mflx. For isometric contractions, the present model is suitable as a method to estimate antagonist muscle moments.
尽管使用可行的肌电图-力矩模型来预测膝关节力矩似乎很有前景，但估计力的重复性仍不明确。本研究的目的是应用肌电图-力矩模型来预测最大等长膝关节伸展时膝屈肌的拮抗力矩（Mflx）。九名健康男性在0度、45度和90度角度进行最大等长膝关节伸展和屈曲收缩，并记录大腿肌肉的净力矩和肌电图。在不同强度水平下进行校准膝关节屈曲，使用二阶多项式拟合得到的肌电图-力矩曲线。然后使用这些多项式来预测Mflx。一周后重复此过程。结果表明重测Mflx无显著差异。组内相关系数范围为0.852至0.912，表明估计的Mflx具有较高的重测可靠性。对于等长收缩，本模型适合作为估计拮抗肌力矩的一种方法。
