摘要
本文提出了一种利用小波级数检测睡眠脑电（ＥＥＧ）中Ｋ－ 复合波的方法。这种方法使用Ｄａｕｂｅｃｈｉｅｓ正交小波基， 把ＥＥＧ信号分解成４个尺度上的小波级数， 利用最大尺度上的信号逼近检测Ｋ－ 复合波中的大慢波脉冲，然后，利用信号细节检测紧跟大慢波脉冲之后的梭形波。实际检测结果表明这种方法能够有效地检出睡眠ＥＥＧ中的Ｋ－ 复合波。
A new method to detect the K-complex from the sleep EEG (electroen cephalogram) by wavelet series automatically is presented in this paper. The EEG signals are decomposed into wavelet series of 4 scales with the fifth order daubechies wavelet. The large slow wave in K complexe was approximated with the signals on the largest scale, and then the spindles following the large slow wave in K complex was able to be detected using the details of the signals. Experiments showed that we can detect the K-complexes in the sleep EEG effectively.
出处
《北京生物医学工程》
EI
2000年第1期1-5,共5页
Beijing Biomedical Engineering
