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Abstract：
Our earlier research has shown considerable increases of and intercorrelations between subjective sleepiness, alpha, theta, and delta power density of the EEG as well as slow rolling eye movements (SEM) during night-time, monotonous work tasks. The purpose of the present methodological study was to establish EEG-EOG criteria for extreme behavioral sleepiness. Medilog tape-recorders were used to record EEG and EOG on 5 males and 5 females during a 45 min visual vigilance test. Performance on the test was also recorded on the tape as well as experimenter-scored dozing off episodes (from TV supervision). The EEG was subjected to computerized spectral analysis in 7.5 s epochs, and the EOG was scored visually for slow eye movements in the same epochs. The epochs immediately preceding a hit, miss and dozing off differed significantly. There was most power density in the alpha, theta and delta bands and most SEM activity before dozing off episodes and least before hits. The power density and the SEM activity were significantly increased one whole minute before dozing off events and missed signals compared to hits. Just prior to the ultimate sleepiness, i.e., the dozing off, the SEM activity and the delta and theta power density were further increased, while alpha power density was at its maximum during the last three epochs before the dozing off. The response patterns of all subjects were rather homogeneous. In conclusion, behavioral sleepiness is systematically reflected in spectral EEG and EOG parameters and the results support attempts to use these variables to indicate sleepiness in active subjects in real life situations.
摘要：
我们早期的研究表明，主观嗜睡之间的相关性大大增加，阿尔法，theta,EEG的delta功率密度以及夜间缓慢的眼球运动（SEM），单调的工作任务。本方法研究的目的是建立极端行为嗜睡的EEG-EOG标准。在45分钟的视觉警觉测试中，使用Medilog录音机记录了5名男性和5名女性的EEG和EOG。测试的表现也记录在磁带上，以及实验者打瞌睡的情节（来自电视监督）。脑电图在7.5s时间内进行了计算机频谱分析，并在相同时期对眼动缓慢的眼动进行视觉评分。撞击之前的时代，错过和打瞌睡有很大不同。阿尔法中的功率密度最大，theta和delta带和大多数SEM活动在打瞌睡之前，最少在击中之前。与命中相比,在打瞌睡事件和错过信号之前整整一分钟,功率密度和SEM活性显著增加。就在终极困倦之前，即，打瞌睡，SEM活性以及δ和θ功率密度进一步增加，而阿尔法功率密度在打瞌睡前的最后三个时期达到最大值。所有受试者的反应模式都相当均匀。总之,行为嗜睡系统地反映在频谱EEG和EOG参数中，结果支持尝试使用这些变量来指示现实生活中活跃受试者的嗜睡。
