检测脑电癫痫波的小波分析方法

Detecting of Epilepsy Wave in Electroencephalogram Using Wavelet Transform

小波分析是一种时 /频域的分析方法。它具有多分辨率 ,相对带宽恒定 ,在时、频两域都具有表征信号局部特征能力的特点 ,被誉为“数学显微镜”。本文基于二进小波变换 ,对嫌疑癫痫波进行多尺度的分析 ,根据脑电嫌疑波的三种基本成分 (棘波、尖波和慢波 )在不同尺度上的特性检测出它们。文中最后给出了小波分析检测脑电癫痫波的实例。理论和实践表明 ,小波分析在脑电癫痫波的检测中有广阔的应用前景。

Wavelet transform is an analytical method in time domain and frequency domain.It has features of multiresolution, constant relative bandwidth, and ability to show local features of signals both in time and space domain.It is praised as a “mathematical microscope”. It is introduced that suspected EEG Signals are analysed based on binary wavelet transform.Because the three main components of suspected epileptic EEG (spike waves, sharp waves and slow waves)have different frequency properties, they can be detected in different scale. To conclude, have is given an example of analysing EEG signal using wavelet transform. Theory and experiments show that wavelet transform, applied to detect epilepsy wave in EEG, will develop in future.