Examination of Statistical Instability of Electroencephalograms
- Authors: Zilov V.G.1, Khadartsev A.A.2, Eskov V.V.3, Ilyashenko L.K.4, Kitanina K.Y.2
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Affiliations:
- I. M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation
- Medical Institute, Tula State University
- Surgut State University
- Surgut Oil and Gas Institute, Affiliated Branch of Tyumen Industrial University
- Issue: Vol 168, No 1 (2019)
- Pages: 5-9
- Section: Article
- URL: https://journals.rcsi.science/0007-4888/article/view/242162
- DOI: https://doi.org/10.1007/s10517-019-04633-7
- ID: 242162
Cite item
Abstract
The study examined stochastic stability of EEG samples recorded in succession from the same healthy volunteer at unchanged state. The absence of statistical repetitions not only for EEG samples, but also for the corresponding spectral densities was proven. A method to calculate the pairwise comparison matrices of ECG samples and quasi-attractors was proposed. The diagnostic effectiveness of these calculations was demonstrated during photostimulation, when successive EEG samples chaotically changed under overall homeostatic conditions.
About the authors
V. G. Zilov
I. M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation
Email: medins@tsu.tula.ru
Russian Federation, Moscow
A. A. Khadartsev
Medical Institute, Tula State University
Author for correspondence.
Email: medins@tsu.tula.ru
Russian Federation, Tula
V. V. Eskov
Surgut State University
Email: medins@tsu.tula.ru
Russian Federation, Autonomous District-Ugra, Khanty-Mansiysk
L. K. Ilyashenko
Surgut Oil and Gas Institute, Affiliated Branch of Tyumen Industrial University
Email: medins@tsu.tula.ru
Russian Federation, Surgut
K. Yu. Kitanina
Medical Institute, Tula State University
Email: medins@tsu.tula.ru
Russian Federation, Tula