Literature DB >> 3384505

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

K J Blinowska1, P J Franaszczuk, P Mitraszewski.   

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.

Mesh:

Year:  1988        PMID: 3384505     DOI: 10.1016/0020-7101(88)90046-3

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  2 in total

1.  Non-linear and linear forecasting of the EEG time series.

Authors:  K J Blinowska; M Malinowski
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

2.  A new method of the description of the information flow in the brain structures.

Authors:  M J Kamiński; K J Blinowska
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

  2 in total

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