title: Contribution to the definition of the power bands limits of sleep EEG by linear prediction.
abstract: The linear prediction method has been applied to compute the power spectra distribution in 10 healthy young men (aged 17 to 26). For each subject, the local extrema positions have been detected and grouped as a function of their frequency. The computation of a mean frequency distribution for the extrema position, on the 10 subjects, allowed for the definition of eight frequency power bands. The time evolution of these power bands during the first NREM episode has been computed and averaged for the 10 subjects. The cross-correlation analysis demonstrated the relevance of three bands in the range 0-8.10 Hz: delta ]0-2.78] Hz, theta 1 ]2.78-5.42] Hz, theta 2 ]5.42-8.10] Hz. Our extrema study leads to the division of the beta range ]16.25-25.00] Hz into three bands. However, their time evolution does not support the usefulness of the partitioning of the beta range, probably resulting from our too low sampling frequency.
authors.affiliation: Department of Psychiatry, Erasme Hospital, Free University of Brussels, Belgium.
authors.forename: J P
authors.initials: JP
authors.lastname: Lanquart
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D001611:Beta Rhythm; D003700:Delta Rhythm; D004569:Electroencephalography; D004576:Electromyography; D004585:Electrooculography; D005544:Forecasting; D005583:Fourier Analysis; D006801:Humans; D016014:Linear Models; D008297:Male; D017286:Polysomnography; D012815:Signal Processing, Computer-Assisted; D012890:Sleep / Q000502:physiology*; D012894:Sleep Stages / Q000502:physiology; D012895:Sleep, REM / Q000502:physiology; D013826:Theta Rhythm