基于小波功率谱算法的脑电地形图成像方法

The Method of BEAM Imaging Based on the Wavelet Power Spectrum Algorithm

由于脑电图信号的非平稳性,首先从理论上推导出针对脑电图信号的小波功率谱计算公式。以小波功率谱算法代替传统功率谱算法,以所记录的脑电图数据作为原始数据,编程计算出16导脑电图数据在δ、θ、α1、α2、α3、β等脑电波频段在采样区间[t1,t2]的功率,再用插值方法,计算出大脑某个水平截面各点的功率分布,并用伪彩色将截面上的功率分布显示出来,构造出更准确和更符合实际的脑电地形图。

Because of the instability of EEG signals,the expressions of wavelet power spectrum for EEG signals have been described in this paper.By replacing traditional power spectrum algorithm with wavelet power spectrum algorithm, using the original recorded EEG data,computing the powers of 16-channel EEG data on the frequency interval of δ、θ、α1、α2、α3、β and the sampling interval [t1,t2],and using interpolatlon,the power distributing on a level section of a brain can be calculated.Then,by pseudocolor,the more exact and practical BEAM can be shown.