W. Witting et al., AN ONLINE AUTOMATED SLEEP-WAKE CLASSIFICATION-SYSTEM FOR LABORATORY-ANIMALS, Journal of neuroscience methods, 66(2), 1996, pp. 109-112
A computerized sleep-wake classification program is presented that is
capable of classifying sleep-wake states on-line in four animals simul
taneously. Every 10 s the classification algorithm assigns sleep-wake
states on the basis of the power spectrum of an EEG signal and the sta
ndard deviation of an EMG signal. The system was developed specificall
y for long-term circadian rhythm experiments and can run uninterrupted
for an unlimited period of time. To validate the system a total of 57
60 sleep-wake epochs from 4 rats was classified both visually and by c
omputer. The results show a good agreement between visual and computer
automated (kappa = 0.770) sleep-wake scoring. Therefore, the presente
d sleep-wake classification system can be regarded as a reliable and t
ime saving alternative for visual scoring in sleep research.