复小波在脑电同步性研究中的应用

Application of complex wavelet transform to EEG synchronization research

基于小波变换的基本原理,研究了如何应用复小波量化信号同步程度;针对脑电信号的生理特点,提出了先对信号进行小波多尺度分解,提取信号主要特征,再用复小波(Complex Corrected Morlet Wavelet)对信号做同步量化的方法;应用仿真数据和真实动物脑电信号验证了此方法在脑电信号同步性分析中的可行性和有效性。

Based on the fundamental principles of the wavelet transform （WT） an idea concerning how to quantify the synchronization between the signals by complex wavelet transform is explained. According to its physiological trait, the electroencephalogram （EEG） wavelet transform is decomposed in multi-scale by WT. Their information is picked up and their synchronous relationship is quantified by the complex wavelet transform （Complex Corrected Morlet Wavelet）. Simulation data and real animal data are used to verify the above method.