The cortical-muscular functional coupling performance evaluation based on harmonic wavelet and symbolic phase transfer entropy

摘要

Synchronous analysis of Electroencephalogram (EEG) and Electromyography (EMG) signals can reflect the information transport function of the motor nerve. Symbol phase transfer entropy was a further improvement of transfer entropy. It was applied to the analysis of synchronous EEG and EMG signal to evaluate the performance of cortical muscle coupling. The EEG/EMG signals recorded synchronously at different muscle strength were decomposed into uniform narrow band oscillations using harmonic wavelet transform. The corresponding SPTEs of EEG and EMG narrow band oscillations were calculated and summed, and the significant areas were obtained. By moving the analysis window, time varying significant areas were obtained and significant area curves showed the corresponding strength of cortical muscle coupling.