摘要
利用子波和子波交换的性质,并根据其对一小段医学信号的异常信号,可以灵敏地通过子波系数反映出来的特点,将子波分析应用于脑电图(EEG)信号处理,把癫痫波从常规EEG信号中提取出来。文中给出了子波变换分析EEG信号的实例。理论和实验表明,利用子波变换检测常规EEG中的病理波有独到之处。
Applies the wevelet transform to the electroencephalogram (EEG) signal processing. By use of the properties of wavelet and wavelet transform, the method of detecting the epilepsy wave from the normal electroencephalogram signal is discussed, according to the abnormal signal in brain wave. This paper gives an example of analysing the EEG signal using wavelet transform. Better results are acquired in the experiments than in using conventional methods.Theory and experiments demonstrate that the wavelet transform applied to detecting the abnormal wave in routine EEG signal has originality.
出处
《数据采集与处理》
CSCD
1997年第1期14-17,共4页
Journal of Data Acquisition and Processing
基金
国家自然科学基金
关键词
癫痫
脑电图
子波分析
脑部疾病
signal detection
signal analysis
multiresolution analysis
wavelet transform
electroencephalogram (EEG) signal
detection of epilepsy wave