Detection of similar sequences in EEG maps series using correlation coefficients matrix

Authors:
Hanna Goszczynska;Marek Doros;Leszek Kowalczyk;Ewa Zalewska;Krystyna Kolebska
Affiliations:
Nałęcz Institute of Biocybernetics and Biomedical Engineering, PAS, Warsaw, Poland;Nałęcz Institute of Biocybernetics and Biomedical Engineering, PAS, Warsaw, Poland;Nałęcz Institute of Biocybernetics and Biomedical Engineering, PAS, Warsaw, Poland;Nałęcz Institute of Biocybernetics and Biomedical Engineering, PAS, Warsaw, Poland;Nałęcz Institute of Biocybernetics and Biomedical Engineering, PAS, Warsaw, Poland
Venue:
Machine Graphics & Vision International Journal
Year:
2011

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Abstract

The aim of this study has been to develop a method to indicate the similar sequences of electroencephalographic (EEG) maps in a series. A method for the analysis of sequence similarity using the matrix of correlation coefficients for each pair of the EEG maps in the series has been proposed. The results for two series of EEG maps for seizure activity episodes and for activity before, during and after the seizure episode are presented. Analysis of images of the correlation coefficients matrices has allowed us to determine the characteristic features of the areas in these matrices corresponding to the assumed similarity relations, and to indicate the sequences fulfilling these relationships.