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Bezruchko Boris Petrovich

Publications in Math-Net.Ru

  1. Study of the applicability of the method of directional coupling analysis based on phase dynamics modeling on test systems reproducing the frequency properties of EEG signals of healthy volunteers

    Izvestiya VUZ. Applied Nonlinear Dynamics, 34:4 (2026),  546–562
  2. The change in statistical characteristics of cardiovascular system signals and nonlinear measures of cardiorespiratory interaction in healthy volunteers during biofeedback tests

    Izvestiya VUZ. Applied Nonlinear Dynamics, 34:1 (2026),  34–48
  3. Estimation of the stationarity time of infra-slow oscillations of brain potentials using electroencephalogram signals

    Izv. Sarat. Univ. Physics, 25:4 (2025),  474–484
  4. Adaptation of the method of coupling analysis based on phase dynamics modeling to EEG signals during an epileptic seizure in comatose patients

    Izv. Sarat. Univ. Physics, 22:1 (2022),  4–14
  5. The method for diagnostics of the phase synchronization of the vegetative control of blood circulation in real time

    Izv. Sarat. Univ. Physics, 21:3 (2021),  213–221
  6. Development of a digital finger photoplethysmogram sensor

    Izv. Sarat. Univ. Physics, 21:1 (2021),  58–68
  7. Increasing the sensitivity of real-time method for diagnostic of autogenerators phase synchronization based on their non-stationary time series

    Izvestiya VUZ. Applied Nonlinear Dynamics, 29:6 (2021),  892–904
  8. Experimental studies of chaotic dynamics near the theorist

    Izvestiya VUZ. Applied Nonlinear Dynamics, 29:1 (2021),  88–135
  9. The reconstruction of the couplings structure in the ensemble of oscillators according to the time series via phase dynamics modeling

    Izvestiya VUZ. Applied Nonlinear Dynamics, 27:1 (2019),  41–52
  10. The influence of observational noise on the effect of spurious coupling between oscillators as estimated from their time series

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 45:16 (2019),  6–9
  11. Phase synchronization of elements of autonomic control in mathematical model of cardiovascular system

    Nelin. Dinam., 13:3 (2017),  381–397
  12. Influence of nonlinear amplitude dynamics on estimated delay time of coupling between self-oscillatory systems

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 42:6 (2016),  20–26
  13. Phase dynamics modeling technique for estimation of delayed couplings between nonlinear oscillators accounting for influence of amplitudes

    Izv. Sarat. Univ. Physics, 15:4 (2015),  28–37
  14. Model of cardiovascular system autonomic regulation with a circuit of baroreflectory control of mean arterial pressure in the form of delayed-feedback oscillator

    Izv. Sarat. Univ. Physics, 15:2 (2015),  32–38
  15. Influence of sampling interval on the effect of false coupling between oscillators with different natural oscillation parameters

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 41:11 (2015),  94–102
  16. Route to synerge­tics: Excursus in ten lectures

    Izvestiya VUZ. Applied Nonlinear Dynamics, 22:6 (2014),  137–140
  17. Determination of parameters of elements and coupling architecture in ensembles of coupled time-delay systems from their time series

    Zhurnal Tekhnicheskoi Fiziki, 84:10 (2014),  16–26
  18. Optimal selection of parameters of the forecasting models used for the nonlinear Granger causality method in application to the signals with a main time scales

    Nelin. Dinam., 10:3 (2014),  279–295
  19. Estimation of the coupling delay time from time series of self-oscillatory systems with allowance for the autocorrelation function of phase noise

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 40:20 (2014),  104–110
  20. A method for revealing coupling between oscillators with analytical assessment of statistical significance

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 39:13 (2013),  40–48
  21. Interval estimates of coupling delay using time series of oscillators

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 37:1 (2011),  64–71
  22. Modeling nonlinear oscillatory systems and diagnostics of coupling between them using chaotic time series analysis: applications in neurophysiology

    UFN, 178:3 (2008),  323–329
  23. Detection of coupling between oscillators from their short time series: Condition of applicability of the method of phase dynamics modeling

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 33:4 (2007),  19–26
  24. Contemporary problems in modeling from time series

    Izv. Sarat. Univ. Physics, 6:1 (2006),  3–27
  25. Interval estimators of coupling between switched systems

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 32:18 (2006),  73–81
  26. Multistability in oscillation systems with period doubling and unidirectional coupling

    Dokl. Akad. Nauk SSSR, 314:2 (1990),  332–336
  27. TYPES OF OSCILLATIONS AND THEIR EVOLUTION IN DISSIPATIVELY-RELATED FEIGENBAUM SYSTEMS

    Zhurnal Tekhnicheskoi Fiziki, 60:10 (1990),  19–26
  28. О возможности появления хаотических решений в модели узкозонного полупроводника в режиме ударной ионизации

    Fizika i Tekhnika Poluprovodnikov, 23:9 (1989),  1707–1709
  29. MULTISTABLE STATES OF DISSIPATIVELY-CONNECTED FEIGENBAUM SYSTEM

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 15:3 (1989),  60–65
  30. PECULIARITIES OF ORIGINATION OF QUASIPERIODIC MOMENTS IN THE DISSIPATIVELY RELATED NONLINEAR OSCILLATOR SYSTEM UNDER THE OUTER PERIODIC EFFECT

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 14:1 (1988),  37–41
  31. Change of the structure of stochastic-system plane breakdown under the excitation of additional mode

    Pisma v Zhurnal Tekhnicheskoi Fiziki, 13:8 (1987),  449–452
  32. A new type of critical behavior in coupled systems at the transition to chaos

    Dokl. Akad. Nauk SSSR, 287:3 (1986),  619–622

© Steklov Math. Inst. of RAS, 2026