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Feature extraction of epileptic EEG signals based on wavelet package transform
Author(s): 
Pages: 36-39
Year: Issue:  10
Journal: Electronic Measurement Technology

Keyword:  癫痫脑电小波包特征提取BP神经网络;
Abstract: 为了有效识别癫痫脑电信号,提出了一种适合于非平稳脑电信号的特征提取方法.以临床采集的包含癫痫发作期的5组500个EEG公共数据为样本,选择了具有任意多分辨分解特性的小波包变换,对信号进行多尺度分解,并提取了各级节点的小波包系数.将小波包系数能量作为特征值,构建了特征向量并输入到BP神经网络分类器中进行自动识别.实验结果表明,该算法的识别率达到了91.5%.
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