基于平稳小波变换的EEG视觉的信号修正

眼球运动和眨眼会在眼球周围产生电信号，这种电信号的存在直接影响到对EEG信号的分析特征提取及EEG模式的分类等研究。本文提出了一种基于小波阈值滤噪方法来修正EEG信号中出现的视觉伪信号(OA)。这种用于EEG视觉伪信号处理的小波方法的实现过程如下：1)用平稳小波变换(SWT)对原始EEG信号进行处理；2)设置低频带信号的系数阈值；3)对滤噪后的信号进行重构。实验结果表明这种方法同时适用于眨眼和眼球运动产生的伪信号。最后，通过对采集的信号处理前后做了对比，说明其有效性。

A Method of EEG Ocular Artifacts Correction Based on Stationary Wavelet Transform

Eye movenments and blinks produce significant electric signals,which infect electroencephalogram (EEG).This paper give a method of EEG ocular artifact (OA) correction based on stationary wavelet transform (SWT).The proposed method for EEG OA correction based on SWT is as follows:1) a stationary wavelet transform (SWT) is applied to the corrupted EEG;2) the threshold of the coefficients in the lower frequency bands is performed ;3) the de-noised sgnal is reconstructed .Simulation result indicates this method is both suit for the atrifacts produced by blinks and eye movements .Finally,the availability of this methods is proved by comparing the corrected EEG with the raw EEG signals.