title: The way to EEG-classification: transition from language of patterns to language of systems.
abstract: An approach is proposed based on identification of systems underlying EEG to reduce the number of descriptors required. Five-minute EEG records were collected from 39 normal subjects in 3 states: eyes closed, fingering beads, eyes open. The algorithm included a spectral analysis, separation of rhythms by a finite memory filter, and autocorrelation analysis of the oscillations and their envelope. Only three oscillatory systems were identified reliably. All of them pertain to the alpha-band: independent frontal and occipital alpha-rhythms, and a mu-rhythm. A division of the subjects into 5 groups has been based on the presence or absence of these systems. Across groups, the mean frequency of the alpha-system was 10.2 Hz, mu-system--10.0 Hz. The mean damping decrement equalled .24 for the occipital alpha system, .30 for mu. The assumption that rhythms in the alpha-band can be created due to the physiological equivalent of narrow-band filters with stochastic neuronal activity at their input has been confirmed in the majority of cases.
authors.affiliation: Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow.
authors.forename: V A
authors.initials: VA
authors.lastname: Feshchenko
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D000513:Alpha Rhythm; D004569:Electroencephalography / Q000145:classification*; D006801:Humans; D008959:Models, Neurological; D009991:Oscillometry; D009626:Terminology as Topic