USE OF JRQA INDICATORS OF ELECTROENCEPHALOGRAPHY DATA FOR THEIR TYPIFICATION
DOI:
https://doi.org/10.34185/1991-7848.itmm.2024.01.043Keywords:
Nonlinear recurrent analysis, electroencephalography, JRQA parameters.Abstract
The paper calculated JRQA indicators from real data from group E of the Bonn Medical University database during an epileptic attack. An analysis of the corresponding calculated JRQA parameter values for the same data is presented. Comparison and comparison of these parameters allows us to consider the issue of their use to clarify the problem of fuzzy typing the presented information.
References
Bilozyorov V.E. Using the method of nonlinear recurrent analysis to typify time series data of electroencephalography. V.E. Bilozyorov, V.G. Zaitsev, O.V. Pogorelov, O.L. Khizha // System technologies. Region. interuniversity gathering. of science
works - D.: - issue 2 (145), 2023. - pp. 82-104.
Recurrence Quantification Analysis. [Online]
Available: http://www.recurrenceplot. tk/rqa.php.
EEG Time Series Data (Department of Epileptology University of Bonn, Germany). Available online: http://epileptologie-bonn.de/cms/front_content.php?idcat=193&lang=3& changelang=3 (accessed on 25 September 2021).
Systems with Emphasis on Multi-domain Feature Extraction and Classification using Machine Learning," BRAIN Broad Research in Artificial Intelligence and
Neuroscience 8.4. 2017., p. 109-129.
