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Multimodal time-variant signal analysis of neonatal EEG burst patterns.
Witte, H; Putsche, P; Eiselt, M; Hoffmann, K; Arnold, M; Jäger, H; Leistritz, L.
  • Witte H; Institute of Medical Statistics, Computer Sciences and Documentation, Friedrich Schiller University Jena, Germany.
Stud Health Technol Inform ; 52 Pt 2: 1250-4, 1998.
Article en En | MEDLINE | ID: mdl-10384660
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.
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Banco de datos: MEDLINE Asunto principal: Fases del Sueño / Procesamiento de Señales Asistido por Computador / Recién Nacido / Electroencefalografía Límite: Humans Idioma: En Año: 1998 Tipo del documento: Article
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Banco de datos: MEDLINE Asunto principal: Fases del Sueño / Procesamiento de Señales Asistido por Computador / Recién Nacido / Electroencefalografía Límite: Humans Idioma: En Año: 1998 Tipo del documento: Article