Center for Sensory-Motor Interaction (SMI), Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
J Appl Physiol (1985). 2011 Aug;111(2):485-94. doi: 10.1152/japplphysiol.00186.2011. Epub 2011 May 19.
The amplitude of the surface EMG does not reach the level achieved during a maximal voluntary contraction force at the end of a sustained, submaximal contraction, despite near-maximal levels of voluntary effort. The depression of EMG amplitude may be explained by several neural and muscular adjustments during fatiguing contractions, including decreased net neural drive to the muscle, changes in the shape of the motor unit action potentials, and EMG amplitude cancellation. The changes in these parameters for the entire motor unit pool, however, cannot be measured experimentally. The present study used a computational model to simulate the adjustments during sustained isometric contractions and thereby determine the relative importance of these factors in explaining the submaximal levels of EMG amplitude at task failure. The simulation results indicated that the amount of amplitude cancellation in the simulated EMG (∼ 40%) exhibited a negligible change during the fatiguing contractions. Instead, the main determinant of the submaximal EMG amplitude at task failure was a decrease in muscle activation (number of muscle fiber action potentials), due to a reduction in the net synaptic input to motor neurons, with a lesser contribution from changes in the shape of the motor unit action potentials. Despite the association between the submaximal EMG amplitude and reduced muscle activation, the deficit in EMG amplitude at task failure was not consistently associated with the decrease in neural drive (number of motor unit action potentials) to the muscle. This indicates that the EMG amplitude cannot be used as an index of neural drive.
尽管在持续的亚最大收缩力结束时达到了最大自主收缩力的水平,但表面肌电图的幅度并未达到该水平。尽管在疲劳收缩期间存在接近最大的自主努力,但肌电图幅度的降低可能是由几种神经和肌肉的调节引起的,包括肌肉的净神经驱动减少、运动单位动作电位的形状变化和肌电图幅度的消除。然而,这些参数对于整个运动单位池的变化不能通过实验来测量。本研究使用计算模型来模拟在持续等长收缩期间的调整,从而确定这些因素在解释任务失败时肌电图幅度的亚最大值方面的相对重要性。模拟结果表明,在模拟肌电图中(约 40%)的幅度消除量在疲劳收缩期间几乎没有变化。相反,在任务失败时肌电图幅度的主要决定因素是肌肉激活(肌纤维动作电位的数量)减少,这是由于运动神经元的净突触输入减少所致,而运动单位动作电位形状的变化贡献较小。尽管亚最大肌电图幅度与肌肉激活减少之间存在关联,但在任务失败时肌电图幅度的缺陷并不始终与肌肉的神经驱动(运动单位动作电位的数量)减少相关。这表明肌电图幅度不能用作神经驱动的指标。