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ＥＥＧ代表了大脑神经元活动的一种电信号，它一直是研究人在不同睡眠阶段大脑活动的重要工具。本文在同际睡眠分期标准的基础上［１］，利用Ｌｅｍｐｅｌ－Ｚｉｖ所定义的随机序列的“复杂性”对不同睡眠期的ＥＥＧ时间序列进行了分析和研究。结果显示。随被试睡眠深度的增加，各道ＥＥＧ的复杂度减少。而在ＲＥＭ（快动眼睡眠）期，ＥＥＧ的复杂度又回升到接近清醒、闭眼休息时的程度。这个规律不受电极位置的影响。对结果的分析可以看到，复杂度能成为反映睡眠过程大脑活动的一个状态参数，对于ＥＥＧ复杂性的研究可提供一些研究大脑高级认知活动的新思路。
EEG represents an electrical signal to the activity of the brain’s neurons and has long been an important tool in studying brain activity in different stages of sleep. Based on the inter-country sleep staging criteria [1], this paper analyzes and studies the EEG time series of different sleeping periods by using the “complexity” of random sequences defined by Lempel-Ziv. The results show. As the depth of sleep increased, the complexity of EEG decreased. In the REM (fast eye movement sleep) period, the complexity of the EEG has returned to near-soberness and the degree of eye closure. This rule is not affected by the electrode position. Analysis of the results shows that complexity can be a state parameter that reflects brain activity during sleep, and research on EEG complexity can provide new insights into advanced cognitive activity in the brain.