[Automatic sleep analysis. I. Scoring of parameters]
- PMID: 2110884
[Automatic sleep analysis. I. Scoring of parameters]
Abstract
EEG, EOG, EMG and motility are recorded and preprocessed by hardware filtering of EEG and hardware detection of sigma spindles, rapid eye movements (REMs) and delta-waves (greater than 45 microV). After AD-conversion calculation of mean values and smoothing, the sleep-wake-process can be represented by the time-curves of 8 parameters: mean amplitudes per epoch (30 s) of EMG, motility and EEG (in the delta- alpha- and beta-band), delta-time (time/epoch of counted delta-waves) and presence or absence of spindles and REMs per epoch. These parameters can be presented graphically or stored for further analysis of sleep stages, sleep structure or sleep periodicity.
Similar articles
-
[Automatic sleep analysis--II. Determination of sleep stages].EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb. 1990 Jun;21(2):103-10. EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb. 1990. PMID: 2113455 German.
-
Automatic sleep stage classification using two-channel electro-oculography.J Neurosci Methods. 2007 Oct 15;166(1):109-15. doi: 10.1016/j.jneumeth.2007.06.016. Epub 2007 Jun 28. J Neurosci Methods. 2007. PMID: 17681382
-
The visual scoring of sleep and arousal in infants and children.J Clin Sleep Med. 2007 Mar 15;3(2):201-40. J Clin Sleep Med. 2007. PMID: 17557427 Review.
-
Visual and computer-based detection of slow eye movements in overnight and 24-h EOG recordings.Clin Neurophysiol. 2007 May;118(5):1122-33. doi: 10.1016/j.clinph.2007.01.014. Epub 2007 Mar 23. Clin Neurophysiol. 2007. PMID: 17368090
-
Counterpointing the functional role of the forebrain and of the brainstem in the control of the sleep-waking system.J Sleep Res. 2004 Sep;13(3):179-208. doi: 10.1111/j.1365-2869.2004.00412.x. J Sleep Res. 2004. PMID: 15339255 Review.