Rababy N, Kearney R E, Hunter I W
Med Biol Eng Comput. 1989 Mar;27(2):125-9. doi: 10.1007/BF02446220.
A new technique is derived for estimating the conduction velocity of muscle fibre action potentials from surface EMG recordings in humans. The method is based on system identification and extends previous such methods by explicitly accounting for additive noise at the output as well as at the input. Experimental and simulation results demonstrate that at moderate noise levels the new method yields estimates comparable to those obtained with previous methods. However, simulation studies show that the new method should be particularly valuable at high noise levels, where it should provide much better estimates than previous techniques provided that an adequate representation of the noise is available.
一种从人体表面肌电图记录中估计肌纤维动作电位传导速度的新技术应运而生。该方法基于系统辨识，通过明确考虑输出端以及输入端的加性噪声，对先前的此类方法进行了扩展。实验和仿真结果表明，在中等噪声水平下，新方法得出的估计值与先前方法获得的估计值相当。然而，仿真研究表明，新方法在高噪声水平下应具有特别的价值，在这种情况下，只要能充分表示噪声，它应能提供比先前技术好得多的估计值。
