An on-line automated sleep-wake classification system for laboratory animals
An on-line automated sleep-wake classification system for laboratory animals
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DOI：
10.1016/0165-0270(96)00027-1
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发表时间：
1996-06-01
影响因子：
3
通讯作者：
Mirmiran, M
中科院分区：
文献类型：
--
作者：
Witting, W;vanderWerf, D;Mirmiran, M
提出了一种计算机化的睡眠-觉醒分类程序，能够同时对四种动物的睡眠-觉醒状态进行在线分类。每隔10 s，该分类算法根据脑电信号的功率谱和肌电信号的标准差对睡眠-觉醒状态进行划分。该系统是专门为长期昼夜节律实验开发的，可以不间断地运行无限时间。为了验证该系统，对4只大鼠的5760个睡眠-觉醒期进行了视觉和计算机分类。结果显示，视觉和计算机自动（kappa = 0.770）睡眠-觉醒评分之间有很好的一致性。因此，本文提出的睡眠-觉醒分类系统可作为睡眠研究中一种可靠且省时的视觉评分方法。
A computerized sleep-wake classification program is presented that is capable of classifying sleep-wake states on-line in four animals simultaneously. Every 10 s the classification algorithm assigns sleep-wake states on the basis of the power spectrum of an EEG signal and the standard deviation of an EMG signal. The system was developed specifically for long-term circadian rhythm experiments and can run uninterrupted for an unlimited period of time. To validate the system a total of 5760 sleep-wake epochs from 4 rats was classified both visually and by computer. The results show a good agreement between visual and computer automated (kappa = 0.770) sleep-wake scoring. Therefore, the presented sleep-wake classification system can be regarded as a reliable and time saving alternative for visual scoring in sleep research.