Izvestiya of Saratov University.

Physics

ISSN 1817-3020 (Print)
ISSN 2542-193X (Online)

For citation:

Navrotskaya E. V., Karavaev A. S., Sinkin M. V., Borovkova E. I., Bezruchko B. P. Adaptation of the method of coupling analysis based on phase dynamics modeling to EEG signals during an epileptic seizure in comatose patients. Izvestiya of Saratov University. Physics , 2022, vol. 22, iss. 1, pp. 4-14. DOI: 10.18500/1817-3020-2022-22-1-4-14, EDN: FBZGDC

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Published online: 
31.03.2022
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Language: 
Russian
Heading: 
Biophysics and medical physics
Article type: 
Article
UDC: 
530.18
DOI: 
10.18500/1817-3020-2022-22-1-4-14
EDN: 
FBZGDC

Adaptation of the method of coupling analysis based on phase dynamics modeling to EEG signals during an epileptic seizure in comatose patients

Autors: 
Navrotskaya Elena Vladimirovna, Saratov State University
Karavaev Anatoly Sergeevich, Saratov State University
Sinkin Mikhail V., Scientific Research Institute of First Aid named after N.V. Sklifosovsky
Borovkova Ekaterina Igorevna, Saratov State University
Bezruchko Boris Petrovich, Saratov State University
Abstract: 

Background and Objectives: the coupling of EEG signals during an epileptic seizure in patients during coma is being studied. Materials and Methods: the analysis of the applicability of the method of detecting the interaction between oscillatory systems based on the phase dynamics modeling to EEG signals during an epilepsy seizure in comatose patients is carried out. Results: a method of preliminary filtering of EEG signals has been proposed and the values of the method parameters have been selected, which allow obtaining reliable estimates of directional coupling at a significance level of 0.05. As an example, the analysis of the couplings between EEG signals of two patients with the mentioned pathologies was carried out using the method of the coupling estimation developed in this work. 

Key words: 
EEG
epilepsy
coma
phase
phase dynamics modeling
coupling estimation
coupling direction
statistical significance
time series analysis
mean phase coherence
Acknowledgments: 
The reported study was funded by RFBR according to the research project No. 18-29-02035, by the Grant Council of the President of the Russian Federation for the state support of young Russian scientists – candidates of sciences (project No. MK-2325.2021.1.2) and in the framework of the state task of Saratov Branch of the Institute of Radioengineering and Electronics of the Russian Academy of Sciences.
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Received: 
01.10.2021
Accepted: 
02.12.2021
Published: 
31.03.2022
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