Известия высших учебных заведений: Прикладная нелинейная динамика (May 2021)

Using a mathematical model of cardiovascular system for preparing surrogate data for testing methods of phase synchronization analysis

  • Borovkova, Ekaterina Igorevna,
  • Ishbulatov, Yuri Максимович,
  • Hramkov, Alexey Николаевич,
  • Karavaev, Anatolij Sergeevich

DOI
https://doi.org/10.18500/0869-6632-2021-29-3-356-364
Journal volume & issue
Vol. 29, no. 3
pp. 356 – 364

Abstract

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The aim of present research is refinement of the parameters and statistical properties of methods for diagnosing phase synchronization areas based on the dependence of the instantaneous phase difference of oscillations on time. Methods. Two methods are compared that allow one to identify of synchronization modes based on the dependence of the instantaneous phase difference of oscillations on time: a method based on an estimate of the phase coherence coefficient and a method based on a linear approximation of the instantaneous phase difference in a sliding window and an estimate of the slope of the approximating straight line. The phase synchronization of the low-frequency (0.04–0.15 Hz) components of the time series of interbeat intervals and blood pressure is analyzed. A mathematical model of the cardiovascular system is used to generate an ensemble of test data when analyzing the statistical properties of methods of phase synchronization analysis and refining their parameters. Test data is generated by modulating the coupling parameters between the autonomic control loops of blood circulation in the model, providing the known presence and absence of synchronization modes. Results. During the analysis of the model data, the values of the method parameters were refined. The sensitivity and specificity of the methods were evaluated. A higher sensitivity of the previously proposed method for detecting phase synchronization intervals in the analysis of non-stationary time series of the cardiovascular system is shown. Conclusion. In the analysis of non-stationary time series of the cardiovascular system shown the higher sensitivity of the method for detecting phase synchronization intervals, what based on a piecewise linear approximation of the instantaneous phase difference in a sliding window and an estimate of the slope of the approximating straight line.

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