Abstract:
We offer an approach to the inter-channel connectivity analysis of EEG using correlation ratios which can objectively estimate characteristics of interactions in all their models. It is shown that the values of the correlation ratios can serve as an indicator of nonlinear correlation. The ability to analyze multiple interactions is shown on the basis of the proposed correlation ratio matrix. The concept of dominant channels is introduced. Algorithms and analysis software are discussed.
Received 18.07.2016, 07.09.2016, Published 28.10.2016
Document Type:
Article
UDC:519.254
Language: Russian
Citation:
R. I. Ivanovskiy, M. A. Novozhilov, “Inter-channel connectivity analysis of electroencephalograms based on the correlation ratio”, Mat. Biolog. Bioinform., 11:2 (2016), 214–224
\Bibitem{IvaNov16}
\by R.~I.~Ivanovskiy, M.~A.~Novozhilov
\paper Inter-channel connectivity analysis of electroencephalograms based on the correlation ratio
\jour Mat. Biolog. Bioinform.
\yr 2016
\vol 11
\issue 2
\pages 214--224
\mathnet{http://mi.mathnet.ru/mbb266}
\crossref{https://doi.org/10.17537/2016.11.214}
Linking options:
https://www.mathnet.ru/eng/mbb266
https://www.mathnet.ru/eng/mbb/v11/i2/p214
This publication is cited in the following 3 articles:
M. E. Sobolev, A. L. Gorelik, O. L. Vlasova, “Comparative Analysis of Interchannel Relationships on Electroencephalograms in Healthy People and Patients with Depression Using the Method of Correlation Ratios”, BIOPHYSICS, 68:4 (2023), 643
M. E Sobolev, A. L Gorelik, O. L Vlasova, “Comparative analysis of interchannel interactions on electroencephalograms in healthy people and patients with depression using the method of correlation ratios”, Biofizika, 68:4 (2023), 789
R. I. Ivanovsky, M. A. Novozhilov, “Multiple Inter-Channel EEG Relationships and Their Application”, Biomed Eng, 52:2 (2018), 142
Citation in format AMSBIB
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