Linear model of brain electrical activity - EEG as a superposition of damped oscillatory modes
type: Item
instance of: scholarly article
title: Linear model of brain electrical activity - EEG as a superposition of damped oscillatory modes
zbMATH Open document ID: 0565.92007
DOI: 10.1007/BF00355687
published in: Biological Cybernetics
publication date: 1985-01-01T00:00:00Z
review text: EEG time series were modeled as an output of the linear filter driven by white noise. Parameters describing the signal were determined in a way fulfilling the maximum entropy principle. Transfer function and the impulse response function were found. The solutions of the differential equations describing the system have the form of the damped oscillatory modes. The representation of the EEG time series as a superposition of the resonant modes with characteristic decay factors seems a valuable method of the analysis of the signal, since it offers high reduction of the data to the few parameters of a clear physiological meaning.
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 92Cxx
Mathematics Subject Classification ID: 62M20
zbMATH DE Number: 3902446
zbMATH Keywords: EEG time series
zbMATH Keywords: linear filter driven by white noise
zbMATH Keywords: maximum entropy principle
zbMATH Keywords: Transfer function
zbMATH Keywords: impulse response function
zbMATH Keywords: damped oscillatory modes
zbMATH Keywords: superposition of the resonant modes
Wikidata QID: Q48541708
author: Piotr J. Franaszczuk
author: Katarzyna J. Blinowska
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 3902446