Röschke J, Aldenhoff J
Psychiatrische Klinik der Universität, Mainz, Federal Republic of Germany.
Biol Cybern. 1991;64(4):307-13. doi: 10.1007/BF00199594.
In order to perform an analysis of nonlinear EEG-dynamics we investigated the EEG of ten male probands during sleep. According to Rechtschaffen and Kales (1968) we scored the sleep-EEG and applied an algorithm, proposed by Grassberger and Proccaccia (1983) to compute the correlation dimension of different sleep stages. The correlation dimension characterizes the dynamics of the EEG signal and estimates the degrees of freedom of the signal under study. We could demonstrate, that the EEG of slow wave sleep stages depicts a dimensionality, which is two units smaller than that of light or REM sleep.
为了进行非线性脑电图动力学分析，我们研究了10名男性受试者睡眠期间的脑电图。根据雷施查芬和卡莱斯（1968年）的方法，我们对睡眠脑电图进行评分，并应用格拉斯贝格尔和普罗卡恰（1983年）提出的算法来计算不同睡眠阶段的关联维数。关联维数表征了脑电图信号的动力学特征，并估计了所研究信号的自由度。我们能够证明，慢波睡眠阶段的脑电图显示出的维度比浅睡眠或快速眼动睡眠的维度小两个单位。
