Mikhail Prokhorov
Zelenaya 38, Saratov, 410019, Russia
Saratov Branch, Kotel’nikov Institute of Radio-Engineering and Electronics
Publications:
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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
Abstract
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.
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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
Abstract
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.
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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
Abstract
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.
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