Study of statistical properties of the method of analysis of directional couplings based on modeling of phase dynamics

E. I. Borovkova; E. S. Dubinkina; A. N. Hramkov; Y. M. Ishbulatov; V. V. Skazkina; A. S. Karavaev

doi:10.1117/12.2626038

29 April 2022 Study of statistical properties of the method of analysis of directional couplings based on modeling of phase dynamics

E. I. Borovkova, E. S. Dubinkina, A. N. Hramkov, Y. M. Ishbulatov, V. V. Skazkina, A. S. Karavaev

Author Affiliations +

Proceedings Volume 12194, Computational Biophysics and Nanobiophotonics; 121940B (2022) https://doi.org/10.1117/12.2626038
Event: XXV Annual Conference Saratov Fall Meeting 2021; and IX Symposium on Optics and Biophotonics, 2021, Saratov, Russian Federation

Abstract

Known works have shown a decrease in the coherence of the process of parasympathetic control of heart rate variability and the process of respiration during healthy aging. To get an idea of the reasons for the decrease in the coherence of the processes under study, in this work we investigated the possibility of using the method for assessing the directional coupling based on modeling of phase dynamics to analyze the directional couplings between the processes of parasympathetic control of heart rate variability and the respiration process. Due to the complexity, nonstationarity and strong nonlinearity of the processes under study, an important and nontrivial task is to choose the duration of the analyzed time series of high-frequency oscillations of the RR-intervals signal and respiration in calculating the indices of directional coupling. This work shows the possibility of using the method for assessing the directional coupling with the length of the analyzed time series from 15 to 450 characteristic periods of oscillations.

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E. I. Borovkova, E. S. Dubinkina, A. N. Hramkov, Y. M. Ishbulatov, V. V. Skazkina, and A. S. Karavaev "Study of statistical properties of the method of analysis of directional couplings based on modeling of phase dynamics", Proc. SPIE 12194, Computational Biophysics and Nanobiophotonics, 121940B (29 April 2022); https://doi.org/10.1117/12.2626038

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