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Analysis of visual evoked potentials using a wavelet decomposition algorithm

机译:使用小波分解算法分析视觉诱发电位

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For accurate and reliable analysis of visual evoked potential (EP) signals, one can utilize a time-frequency analysis technique called the wavelet transform. Because the wavelet transform decomposes time-varying EP signals into dilated lowpass components and contracted highpass components, the wavelet analysis of the EP can utilize the high frequency components which were embedded in the regular EP signal. In this paper, the authors present EP signal features which are obtained at the low and high frequency regions at the levels of resolution used.
机译:为了准确可靠地分析视觉诱发电位(EP)信号,可以利用称为小波变换的时频分析技术。因为小波变换将时变的EP信号分解成扩张的低通组分和收缩的高通组件,所以EP的小波分析可以利用嵌入在常规EP信号中的高频分量。在本文中,作者目前存在于在所用分辨率的低频区域获得的EP信号特征。

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