Real-time monitoring of slow-wave sleep by electroencephalogram variance.
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.
Sei
H
H
Department of Physiology, School of Medicine, University of Tokushima, Japan.
Seno
H
H
Morita
Y
Y
D000704:Analysis of Variance; D000818:Animals; D002648:Child; D004569:Electroencephalography; D006801:Humans; D008297:Male; D008838:Microcomputers; D051381:Rats; D011919:Rats, Inbred Strains; D012890:Sleep / Q000502:physiology*; D012894:Sleep Stages; D012984:Software