摘要
本文采用一种新的快速有效的尖棘波识别方法——序域识别法.它通过FWT 变换把脑电信号从时域变换到序域,提取信号的序域功率谱特征并利用树分类器对尖棘波进行识别,有效识别率为85.5%.
This paper uses the sequntial domain method,which is new,fast and efficient,for recognizing sharp-spike EEG wave.It first shifts EEG signals from time domain to sequential domain by FWT(Fourier-Walsh Transform),Then extracts power spectrum features of sequential domain,finally uses tree-classifier to recognize sharp-spike wave.The effective recognition ratio reaches 85.5%.
关键词
模式识别
信号处理
脑电图
序域
pattern recognition
signal processing
electroencephalogram