REAL-TIME SLEEP-WAKE SCORING IN THE RAT USING A SINGLE EEG CHANNEL
REAL-TIME SLEEP-WAKE SCORING IN THE RAT USING A SINGLE EEG CHANNEL
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DOI：
10.1093/sleep/17.2.113
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发表时间：
1994-03-01
期刊：
影响因子：
5.6
通讯作者：
LIMOGE, A
中科院分区：
文献类型：
--
作者：
KARASINSKI, P;STINUS, L;LIMOGE, A
本文介绍了一种基于皮层电图（ECoG）分析大鼠睡眠的新方法。该系统能自动将睡眠分为清醒、非快速眼动和快速眼动三种状态。在有限带宽（3.18-25 Hz）上放大ECoG并以512 Hz采样后，数据由微型计算机在8秒时间段内处理，该微型计算机产生三个统计变量和两个谐波变量。因此，每个8秒的历元被压缩成五个数值，占用10字节的存储器。每个警惕状态的时期由专家观察员确定，以产生三个参考模型。该程序通过最小二次距离将每个历元分类到适当的状态。通过将结果与测谎仪记录的视觉分析进行比较来验证该系统。在6只大鼠的24小时追踪中，该程序与两个独立评分器之间的一致性为REM睡眠83%，W睡眠96%，NREM睡眠97%。
A new method of analysis of sleep in the rat based on the electrocorticogram (ECoG) is described. Three states, awake (W), nonrapid eye movement (NREM) and rapid eye movement (REM) sleep are automatically classified by the system. After amplification of the ECoG over a restricted bandwidth (3.18-25 Hz) and sampling at 512 Hz, the data are processed in 8-second epochs by a microcomputer, which generates three statistical and two harmonic variables. Each 8-second epoch is thus compressed into five numerical values occupying 10 bytes of memory. Epochs for each state of vigilance are identified by an expert observer to produce three reference models. The program classifies each epoch into the appropriate state by the least quadratic distance. The system was validated by comparing the results with a visual analysis of polygraph recordings. The agreement between the program and the two independent scorers for 24-hour tracings of six rats was 83% for REM sleep, 96% for W and 97% for NREM sleep.