基于小波包变换对脑电信号的分析和处理

Analysis and processing of EEG signal based on wavelet packet transforman

本文提出从时变非平稳脑电信号中提取脑电动态节律的新方法。用小波包分解构造不同频率特性的时变滤波器,以提取各种时变的脑电节律来研究临床脑电信号瞬时变化。在此基础上测试并分析了不同节律波的能量关系,求得能量分布的动态曲线。实验结果表明,小波包分解可以有效提取脑电中不同节律的动态特性,此方法也适用于分析其他生物医学信号。

The paper put forward a new method for detecting time-varying rhythms of non-stationary electroencephalogram. Firstly, wavelet packet transformation is used to design the filters with different frequency characteristics to extract different kinds of dynamic EEG rhythms, so that it can be used to investigate the instantaneous transition of clinical EEG signals. Based on this, we tested and analyzed the energy relations of different rhythm wave, and got the dynamic energy distribution curve. The experimental results show that the dynamic characteristics of clinical brain electrical activities can be extracted by using wavelet packet decomposition,and the method can be used as a new way for analyzing other biomedical signals.