Andreassen S, Stein R B, Oğuztöreli M N
Biol Cybern. 1979 Feb 2;32(1):25-33. doi: 10.1007/BF00337448.
The optimal linear filters derived in the preceding paper can be thoroughly evaluated using computer simulations, based on the properties of mammalian sensory and motor nerve fibres. Using reasonable values for action potential waveforms, conduction velocity and electrode noise, good separation of motor and sensory signals can be obtained. The performance of the filters is degraded by 1) increasing the electrode noise, 2) introducing dispersion in the conduction velocities, or 3) variation in the waveform of the action potentials from that used in designing the filters. However, the variations needed to seriously degrade performance are quite large compared to those which are likely to be present in mammalian nerves. Use of these filters to distinguish different classes of sensory (or motor) signals based on conduction velocity is discussed.
基于哺乳动物感觉和运动神经纤维的特性，利用计算机模拟可以全面评估前一篇论文中推导得出的最优线性滤波器。采用动作电位波形、传导速度和电极噪声的合理数值，能够实现运动信号与感觉信号的良好分离。滤波器的性能会因以下情况而下降：1）电极噪声增加；2）传导速度引入离散；3）动作电位波形与设计滤波器时所采用的波形有所不同。然而，与哺乳动物神经中可能出现的变化相比，要严重降低性能所需的变化幅度相当大。本文还讨论了使用这些滤波器根据传导速度区分不同类别的感觉（或运动）信号的情况。
