肌电信号分解的一种方法

肌电信号的分解是根据肌电信号形成的机理，还原出构成它的各个运动单位运作电位序列（ＭＵＡＰＴ）的过程。本首先采用匹配滤波的方法，对组成ＥＭＧ信号的各个运动单位动作电位（ＭＵＡＰ）进行检测和提取。算法能自适应地更新匹配滤波器和标准ＭＵＡＰ模板，以跟踪ＭＵＡＰ在发放过程中的缓慢变化。利用获得的基本ＭＵＡＰ模板，根据叠加波形与构成它的各ＭＵＡＰ波形之间面向关系，得出可能的ＭＵＡＰ组合。然后再根据每个ＭＵ

A Method for Decomposition of EMG Signals

Decomposition of the EMG signal is a procedure by which the EMG signal is separated into its constituent motor unit action potential trains(MUAPT). The EMG signal usually contains the superposition of the MUAP produced by a number of neurons in the vicinity of the electrode. It is therefore necessary to correctly classify the signals generated by different neurons. In this paper this problem is discussed and a classification scheme is developed. First, the basic motor unit action potentials (MUAPs) are obtained using matched filter, which enables waveform's shape or amplitude during a muscle contraction. Then, based on these MUAPs, superimposed waveforms is classified according to area relationship and fuzzy membership function. The decomposition method has been tested on simulated and real EMG data, and the results are satisfactory.