用提升小波变换提取诱发脑电

提出了一种利用小波分解和重构进行诱发脑电信号的有效提取方法.改变了小波变换的Mallat算法运算量较大,难于满足某些实时性较高的系统需求,采用提升小波变换进行诱发电位的提取,其运算量只有传统方法的一半左右,有助于提高系统的实时性.实验结果表明:用提升小波变换提取诱发脑电信号,能有效的改进实验曲线的信噪比、缩短信号的处理时间,将可以提高BCI系统的通信速率.

Extraction of Evoked Potentials by Lift Wavelet Transform

In this article, forward and inverse wavelet transform that is widely used can efficiently extract evoked potentials. But the traditional Mallat algorithm of wavelet transform has large computing. And it cannot do well in real-time system. We proposed a method of using lift wavelet transform to extract evoked potentials. The lift wavelet transform can run two times faster than Mallat algorithm. It is useful to process real-time signals. The results of simulating and experiment show that extracting evoked potentials by lift wavelet transform can efficiently improve the ratio of signal and noise. It can help increase the communication rate of BCIs because it reduces the time of extracting evoked potentials.