Zelenaya 38, Saratov, 410019, Russia
Saratov Branch, Kotel’nikov Institute of Radio-Engineering and Electronics
Skazkina V., Kiselev A. R., Borovkova E. I., Ponomarenko V. I., Prokhorov M. D., Karavaev A. S.
Estimation of synchronization of contours of vegetative regulation of circulation from long time records
2018, Vol. 14, no. 1, pp. 3-12
The previously proposed method for quantifying the degree of synchronization between circulatory regulation loops is used to analyze the time realizations of healthy subjects. Statistical properties of the index are studied in the analysis of two-hour records of experimental signals. In the course of this work, we investigated the properties of the estimation of the degree of synchronization using temporal realizations with different length, and we investigated the features of synchronization between the control loops under study at a time equal to hundreds of characteristic periods.
Ishbulatov J. M., Karavaev A. S., Ponomarenko V. I., Kiselev A. R., Sergeev S. A., Seleznev Y. P., Bezrychko B. P., Prokhorov M. D.
Phase synchronization of elements of autonomic control in mathematical model of cardiovascular system
2017, Vol. 13, No. 3, pp. 381-397
We propose an original mathematical model for the human cardiovascular system. The model simulates the heart rate, autonomous control of heart, arterial pressure and cardiorespiratory interaction. Taking into account the self-excited autonomic control allowed us to reproduce the experimentally observed effects of phase synchronization between the control elements. The consistency of the proposed model is validated by quantitative and qualitative reproduction of spectral and statistical characteristics of real data from healthy subjects. Within physiological values of the parameters the model demonstrates chaotic dynamics and reproduces spontaneous interchange between the intervals of spontaneous and nonspontaneous behavior.
Sysoeva M. V., Ponomarenko V. I., Prokhorov M. D., Sysoev I. V.
Reconstruction of time-delay systems under external periodic driving
2013, Vol. 9, No. 4, pp. 613-625
A method is proposed for the reconstruction of first-order time-delay systems under external periodic driving from their time series. The method takes into account the structure of the model equation of the system, while constructing the autoregressive model. The proposed method allows one to reconstruct the delay time, the parameter characterizing the system inertial properties, the nonlinear function, and the amplitude and frequency of the external periodic driving. The method efficiency is demonstrated in a numerical experiment by reconstructing a number of different nonautonomous time-delay systems.