title: An on-line automated sleep-wake classification system for laboratory animals.
abstract: 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 time saving alternative for visual scoring in sleep research.
authors.affiliation: Netherlands Institute for Brain Research, Amsterdam, The Netherlands.
authors.forename: W
authors.initials: W
authors.lastname: Witting
authors.forename: D
authors.initials: D
authors.lastname: van der Werf
authors.forename: M
authors.initials: M
authors.lastname: Mirmiran
mesh_terms: D000818:Animals; D000830:Animals, Laboratory; D001143:Arousal / Q000145:classification / Q000502:physiology*; D002940:Circadian Rhythm / Q000502:physiology*; D004569:Electroencephalography; D004576:Electromyography; D008297:Male; D051381:Rats; D017208:Rats, Wistar; D015203:Reproducibility of Results; D012894:Sleep Stages / Q000502:physiology*