Zhang Y T, Parker P A, Scott R N
Department of Electrical Engineering, University of New Brunswick, Fredericton, Canada.
Med Biol Eng Comput. 1991 Jan;29(1):84-8. doi: 10.1007/BF02446301.
Myoelectric signal is an important source of control information for powered prostheses. A commonly used performance measure for the signal processors of such control systems is the ratio of processor output mean to variance. This ratio (SNR) is a function of a number of factors including physiological parameters and additive interference. The paper investigates the effects of motor unit physiological parameters and interference on control performance, with particular reference to SNR. Performance equations are derived and verified with in vivo experiments. The results show a complex interaction among the physiological parameters and interference. A particular point of interest is the misleading SNR values that can occur under certain recruitment and interference conditions.
肌电信号是动力假肢控制信息的重要来源。此类控制系统信号处理器常用的性能指标是处理器输出均值与方差之比。该比值（信噪比）是包括生理参数和附加干扰在内的多个因素的函数。本文研究了运动单位生理参数和干扰对控制性能的影响，特别关注信噪比。推导了性能方程并通过体内实验进行了验证。结果表明生理参数和干扰之间存在复杂的相互作用。一个特别值得关注的点是在某些募集和干扰条件下可能出现的误导性信噪比数值。
