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Estimation of Sensitivity of Nonlinear Methods for Heart Rate Variability Analysis

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Biomedical Engineering Aims and scope

Modern mathematical methods for analysis of heart rate variability (HRV), such as rescaled range analysis, detrended fluctuation analysis, and phase-rectified signal averaging were considered. Algorithms for calculating novel nonlinear HRV indices were described in detail. Mathematical models for simulating artificial cardiac Beat-to-beat intervals that take into account various noise processes were created. A state model of the cardiovascular system based on HRV analysis was developed. The sensitivity of HRV indices to changes in the state of the cardiovascular system was theoretically estimated using artificially simulated data.

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Authors and Affiliations

  1. Samara National Research University named after Academician S.P. Korolev, Samara, Russia

    A. A. Fedotov

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  1. A. A. Fedotov
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Correspondence to A. A. Fedotov.

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Translated from Meditsinskaya Tekhnika, Vol. 52, No. 2, Mar.-Apr., 2018, pp. 30-33.

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Fedotov, A.A. Estimation of Sensitivity of Nonlinear Methods for Heart Rate Variability Analysis. Biomed Eng 52, 111–115 (2018). https://doi.org/10.1007/s10527-018-9794-z

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  • DOI: https://doi.org/10.1007/s10527-018-9794-z

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