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Special Techniques in Applying Continuous Wavelet Transform to Non-stationary Signals of Heart Rate Variability

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Biomedical Engineering Systems and Technologies (BIOSTEC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1211))

Abstract

The analysis of heart rate variability (HRV) is central for cardiac diagnostics, but the essential non-stationarity of heart rate has started to gain attention only recently. The aim of this work is to develop a set of special new techniques for calculating mathematical indicators of HRV spectral properties associated with non-stationarity in frequency. The analysis is done both for the new model of a tachogram taking into account frequency modulation and for the true tachogram record during head up tilt test. Continuous wavelet transformation of the frequency-modulated signal (CWT) has been derived in analytical form. The local frequency of heart rhythm giving the maximum of CWT has been determined. Treated as another non-stationary signal, this frequency has been subjected to CWT following double CWT procedure (DCWT). The special algorithm for eliminating boundary effects at the computing CWT is used. The transient periods for local frequency, the frequencies of local frequency fluctuation against the main trend and the periods of emergence and attenuation of such fluctuations have been defined by estimating the spectral integrals in the ranges {ULF, VLF, LF, HF}. The combined use of several new techniques taking into account the non-stationary character of heart rate can provide reliable diagnostic results.

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Acknowledgments

The work has been supported by the Russian Science Foundation (Grant of the RSF 17-12-01085).

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Authors and Affiliations

  1. Peter the Great Polytechnic University, Polytechnicheskaya str. 29, Saint-Petersburg, Russia

    Sergey Bozhokin, Irina Suslova & Daniil Tarakanov

Authors
  1. Sergey Bozhokin
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  2. Irina Suslova
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  3. Daniil Tarakanov
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Corresponding author

Correspondence to Irina Suslova .

Editor information

Editors and Affiliations

  1. Universidade Nova de Lisboa, Caparica, Portugal

    Ana Roque

  2. Lodz University of Technology, Łódź, Poland

    Arkadiusz Tomczyk

  3. Nice Sophia Antipolis University, Nice Cedex 2, France

    Elisabetta De Maria

  4. University of Bremen, Bremen, Germany

    Felix Putze

  5. University of West Bohemia, Pilsen, Czech Republic

    Roman Moucek

  6. Instituto de Telecomunicações, University of Lisbon, Lisbon, Portugal

    Ana Fred

  7. Universidade Nova de Lisboa, Caparica, Portugal

    Hugo Gamboa

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Bozhokin, S., Suslova, I., Tarakanov, D. (2020). Special Techniques in Applying Continuous Wavelet Transform to Non-stationary Signals of Heart Rate Variability. In: Roque, A., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2019. Communications in Computer and Information Science, vol 1211. Springer, Cham. https://doi.org/10.1007/978-3-030-46970-2_14

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  • DOI: https://doi.org/10.1007/978-3-030-46970-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-46969-6

  • Online ISBN: 978-3-030-46970-2

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