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

• Autorzy: Goszczynska H. , Doros M. , Kowalczyk L. , Zalewska E. , Kolebska K.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

EEG maps sequences; correlation matrix; image sequences similarity measures

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2011
• Tom: Vol. 20, No. 1
• Strony: 73--92
• Opis fizyczny: Bibliogr. 27 poz.

Twórcy

autor

Goszczynska H.

autor

Doros M.

autor

Kowalczyk L.

autor

Zalewska E.

autor

Kolebska K.

• Nałęcz Institute of Biocybernetics and Biomedical Engineering, PAS, Warsaw, Poland

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