title: Multimodal time-variant signal analysis of neonatal EEG burst patterns.
abstract: It can be shown that dominant rhythmic signal components of neonatal EEG burst patterns (discontinuous EEG in quiet sleep) are characterized by a quadratic phase coupling (bispectral analysis), i.e. a multiplicative interaction (connection) between the underlying electrophysiological processes can be assumed. By means of pattern recognition algorithms as well as time-variant spectral and coherence analysis, a so-called "initial wave" (narrow band rhythm within a frequency range of 3-12 Hz) can be demonstrated within the first part of the burst pattern. The detection of this signal component and of the quadratic phase coupling is more successful in the frontal region. By means of amplitude demodulation of the "initial wave" the phase coupling can be attributed to an amplitude modulation. The results were derived from 6 neonates (20 burst patterns for each neonate; 8-channel recordings). A 16-channel EEG-recording was analyzed for one neonate.
authors.affiliation: Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University Jena, Germany.
authors.forename: H
authors.initials: H
authors.lastname: Witte
authors.forename: P
authors.initials: P
authors.lastname: Putsche
authors.forename: M
authors.initials: M
authors.lastname: Eiselt
authors.forename: K
authors.initials: K
authors.lastname: Hoffmann
authors.forename: M
authors.initials: M
authors.lastname: Arnold
authors.forename: H
authors.initials: H
authors.lastname: Jäger
authors.forename: L
authors.initials: L
authors.lastname: Leistritz
mesh_terms: D004569:Electroencephalography / Q000145:classification / Q000379:methods*; D006801:Humans; D007231:Infant, Newborn / Q000502:physiology*; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D012894:Sleep Stages / Q000502:physiology*