组合方法在脑电信号消噪中的仿真研究  

Research on Combination Method of EEG Signal Denoising

作　　者：杨保海[1] 朱亚军[1] 査代奉[1] 

机构地区：[1]九江学院电子工程学院,江西九江332005

出　　处：《计算机仿真》2011年第9期390-393,398,共5页Computer Simulation

基　　金：国家自然科学基金资助项目(60772037);江西省教育厅科技基金资助项目(GJJ10622;GJJ11621);江西省自然科学基金资助项目(2009GZES0068);江西省卫生厅科技计划基金资助项目(20092076)

摘　　要：研究脑电信号消噪问题。脑电信号存在非平稳性且包括大量的噪声,传统的消噪算法不能很好消除脑电信号中的噪声,从而影响后继的脑电信号处理和分析。为了更好的消除脑电信号噪声,提出一种小波变换与自适应滤波相结合的脑电信号组合消噪方法。该方法首先对含噪的脑电信号进行白化处理,然后采用小波分解和重构含噪较大的信号,将重构后的信号作为自适应滤波器的输入,进行自适应滤波消噪处理。仿真结果表明,组合去噪方法能有效去除脑电信号中的噪声干扰。EEG denoising problems are studied in this paper. EEG signals have non-stationary and a lot of noise. The traditional denoising algorithms are not very good for eliminating the noise in the EEG analysis and processing. In order to eliminate the EEG noise, this paper puts forward a kind of wavelet transform combined with denoising meth- od. Firstly, this method whitens the EEG signals containing noise, and then decomposes and reconstructs the signals by wavelet decomposition and reconstruction. The reconstruction signals are used as the adaptive filter input and de- noising is processed based on the adaptive filter. Simulation experiments show that the denoising method can effective- ly remove the noise in EEG signals.

关 键 词：脑电信号 小波变换 去噪 自适应滤波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]