Skip to main content
Log in

Frequency-Dependent Variability of Pulse Wave Transit Time: Pilot Study

  • BIOCHEMISTRY, BIOPHYSICS, AND MOLECULAR BIOLOGY
  • Published:
Doklady Biochemistry and Biophysics Aims and scope Submit manuscript

Abstract

The dynamics of the pulse wave (PW) associated with the PW transit time variability (PWTTV) determines the peripheral pulse rate variability, which is used as a surrogate for heart rate variability (HRV). The aim of the work is to analyze the frequency-dependent dynamics of PWTTV and to identify the possible frequency-phase modulation of PW velocity oscillations on the transit from the heart to the soft tissues of the distal parts of the upper extremities. RR-interval recordings and synchronous records of photoplethysmograms of 12 conditionally healthy subjects from the PhysioNet open database were used in this work. Using the Hilbert–Huang transform 3 spectral components of PWTTV and HRV were identified. It was shown that the amplitudes of PWTTV oscillations were many times (up to 8.4 times) smaller than the amplitudes of HRV, and the peaks of PWTTV spectral components were shifted towards higher frequencies than those of HRV. Functional relations between PWTTV and HRV, which can determine the phase modulation of periodic changes in the PW propagation velocity, were revealed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.

Similar content being viewed by others

REFERENCES

  1. Heart rate variability: standards of measurement, physiological interpretation, and clinical use, Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, Circulation, 1996, vol. 93, pp. 1043–1065.

  2. Mattace-Raso, F.U.S., Hofman, A., Verwoert, G.C., et al., Determinants of pulse wave velocity in healthy people and in the presence of cardiovascular risk factors: Establishing normal and reference values, Eur. Heart J., 2010, vol. 31, pp. 2338–2350.

    Article  Google Scholar 

  3. Mejia-Mejia, E., May, J.M., Torres, R., et al., Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability, Physiol. Meas., 2020, vol. 41, p. 07TR01.

    Article  PubMed  Google Scholar 

  4. Kotovskaya, Yu.V., Rogoza, A.N., Orlova, Ya.A., et al., Ambulatory pulse wave monitoring: current and future, Opinion paper of Russian Experts, Kardiovask. Ter. Profil., 2018, vol. 17, pp. 95–109.

    Article  Google Scholar 

  5. Leloup, A.J.A., Van Hove, C.E., De Moudt, S., et al., Vascular smooth muscle cell contraction and relaxation in the isolated aorta: a critical regulator of large artery compliance, Physiol. Rep., 2019, vol. 7, no. 4, p. e13934.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Yuda, E., Shibata, M., Ogata, Y., et al., Pulse rate variability: a new biomarker, not a surrogate for heart rate variability, J. Physiol. Anthropol., 2020, vol. 39, p. 21.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Grinevich, A.A. and Chemeris, N.K., Spectral analysis of heart rate variability based on the Hilbert–Huang method, Dokl. Biochem. Biophys., 2023, vol. 511, pp. 169–172.

    Article  CAS  PubMed  Google Scholar 

  8. Grinevich, A.A., Garamyan, B.G., and Chemeris, N.K., Localization of mechanisms of amplitude-frequency modulation of pulse blood perfusion of the soft tissue microvasculature. Pilot Study, Dokl. Biochem. Biophys., 2022, vol. 504, no. 1, pp. 118–122.

    Article  CAS  PubMed  Google Scholar 

  9. Mehrgardt, P., Khushi, M., Poon, S., et al., Pulse Transit Time PPG Dataset (version 1.1.0), PhysioNet, 2022.

    Google Scholar 

  10. Goldberger, A., Amaral, L., Glass, L., et al., PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals, Circulation, 2000, vol. 101, no. 23, pp. e215–e220.

    Article  Google Scholar 

  11. Park, J., Seok, H.S., Kim, S.-S., et al., Photoplethysmogram analysis and applications: an integrative review, Front. Physiol., 2022, vol. 12, p. 808451.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Huang, N.E., Zheng, S., Steven, R.L., et al., The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. R. Soc. A, 1998, vol. 454, pp. 903–995.

    Article  Google Scholar 

  13. Tychkov, A.Yu., Application of a modified Hilbert–Huang transform for digital processing of medical signals, Izv. Vyssh. Uchebn. Zaved., Povolzh. Reg., Tekh. Nauki, 2018, vol. 3, pp. 70–82.

    Google Scholar 

Download references

ACKNOWLEDGMENTS

The authors thank Academician V.N. Shabalin for constructive discussion of manuscript versions.

Funding

The work was performed under the state assignments of the Institute of Cell Biophysics of the Russian Academy of Sciences.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to A. A. Grinevich or N. K. Chemeris.

Ethics declarations

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

This work does not contain any studies involving human and animal subjects. Data analysis was performed from the open-access database Pulse Transit Time PPG Dataset (version 1.1.0) [9]. According to the Pulse Transit Time PPG Dataset data, all studies were conducted in accordance with the principles of biomedical ethics set out in the 1964 Declaration of Helsinki and its subsequent amendments, and all participants provided written informed consent.

CONFLICT OF INTEREST

The authors of this work declare that they have no conflicts of interest.

Additional information

Translated by M. Batrukova

Publisher’s Note.

Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Grinevich, A.A., Chemeris, N.K. Frequency-Dependent Variability of Pulse Wave Transit Time: Pilot Study. Dokl Biochem Biophys 516, 107–110 (2024). https://doi.org/10.1134/S1607672924700807

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1607672924700807

Keywords:

Navigation