Clark F M, Radulovacki M
Department of Pharmacology, College of Medicine, University of Illinois, Chicago 60680.
Physiol Behav. 1988;43(5):681-3. doi: 10.1016/0031-9384(88)90227-2.
Manual classification of sleep stages is a tedious and time consuming task. We describe an inexpensive system for sleep-wake state classification for as many as eight rats at a time. It is based on determining threshold values for each parameter of each rat, then finding the natural transitions from one sleep state to another and finally classifying these states utilizing the cortical EEG and EMG signals.
手动分类睡眠阶段是一项繁琐且耗时的任务。我们描述了一种低成本系统，可同时对多达八只大鼠的睡眠-觉醒状态进行分类。该系统基于为每只大鼠的每个参数确定阈值，然后找到从一种睡眠状态到另一种睡眠状态的自然转变，最后利用皮层脑电图和肌电图信号对这些状态进行分类。
