PROBLEM TO BE SOLVED: To estimate distribution of dispersion of a myoelectric signal before rectification smoothing where a signal strength-dependent noise is superposed from the myoelectric signal after the rectification smoothing, and to further generate an artificial myoelectric signal.SOLUTION: A myoelectric signal processing method includes the steps of: calculating an average for each of a predetermined time length concerning the rectification smoothing signal obtained by the rectification smoothing of a myoelectric signal with a signal strength-dependent noise superimposed thereon calculating an average estimate value of dispersion of the myoelectric signal from the average of the rectification smoothing signal and the reciprocal number of a filter gain concerning the rectification smoothing of the myoelectric signal calculating the estimate value of the dispersion of the signal strength-dependent noise from the average estimate value of the dispersion of the myoelectric signal and the parameter concerning the distribution of the dispersion of the myoelectric signal generating a white normal random number, and shaping the frequency characteristics of the white normal random number into the frequency characteristics like the myoelectric signal generating the random number in accordance with the distribution of the dispersion of the myoelectric signal defined by the average estimate value of the dispersion of the myoelectric signal and the estimate value of the dispersion of the signal strength-dependent noise and generating the artificial myoelectric signal from the shaped random number and the random number in accordance with the distribution of the dispersion of the myoelectric signal.SELECTED DRAWING: Figure 1COPYRIGHT: (C)2017,JPO&INPIT【課題】整流平滑化後の筋電信号から信号強度依存ノイズが重畳された整流平滑化前の筋電信号の分散の分布を推定し、さらに人工筋電信号を生成する。【解決手段】筋電信号処理方法は、信号強度依存ノイズが重畳された筋電信号を整流平滑化した整流平滑化信号について所定の時間長ごとに平均を計算し、整流平滑化信号の平均および筋電信号の整流平滑化に係るフィルタゲインの逆数から筋電信号の分散の平均の推定値を計算し、筋電信号の分散の平均の推定値および筋電信号の分散の分布に
