A new method of presentation of the average spectral properties of the EEG time series

K. J. Blinowska, P. J. Franaszczuk, P. Mitraszewski

Research output: Contribution to journalArticlepeer-review

Abstract

In framework of the AR model the transfer function and the impulse response function of the EEG time series were found. The parameters of the impulse response function were interpreted in terms of: frequencies, damping factors and amplitudes of the hypothetical brain rhythm generators. The method of the rhythm diagrams was proposed to describe the spectral properties of the EEG time series. It makes possible the accurate estimation of the EEG rhythm's frequencies and their intensities, especially weak components hardly visible in the conventional spectral analysis are well distinguished. Rhythm diagrams can be a useful tool in the clinical applications and offer new possibilities in the direct comparison of the results of modeling with the experimental data.

Original languageEnglish (US)
Pages (from-to)97-106
Number of pages10
JournalInternational Journal of Bio-Medical Computing
Volume22
Issue number2
DOIs
StatePublished - 1988
Externally publishedYes

Keywords

  • Autoregressive model
  • Brain rhythm generators
  • EEG
  • Spectral analysis

ASJC Scopus subject areas

  • Medicine (miscellaneous)

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