用小波变换提取视觉诱发电位信号

视觉诱发电位（ＶＥＰ）信号的动态提取及处理具有重要的临床意义。通过硬件采集的ＶＥＰ信号经过叠加平均处理后仍含有大量背景噪声，不能直接用于诊断分析。小波变换是一种新兴时频分析方法，适于分析非平稳信号。在我们研制的视觉生理地形图系统中，成功地用它从背景噪声中提取出ＶＥＰ信号，完成信号的预处理。

Extracting Visual Evoked Potential Signal by Wavelet Transform

Dynamic extracting and processing of visual evoked potential(VEP) signals possess clinical importance. After processing of overlaying and averaging,VEP Signal acquired by hardware still has a large amount of background noises and is unable to be used in diagnosis directly. Concept,property and algorithm of wavelet transform-a newly developed timefrequency analysis for nonstationary signals are introduced in this paper. The authors extracted VEP signals from the background noises by wavelet transform successfully and completed the preprocessing of the signals.