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Real-time monitoring of slow-wave sleep by electroencephalogram variance
1Department of Physiology, School of Medicine, University of Tokushima, Japan.
Chronobiology International
|January 1, 1991
Abstract:
Based on statistical variance as an index of electroencephalogram (EEG) parameters, we monitored slow-wave sleep in both humans and rats in real time and on-line with a widely used personal computer. This EEG variance method may be a useful tool to carry out biological rhythm research, including sleep studies.