Human Physiology

, Volume 31, Issue 3, pp 309–315 | Cite as

Mechanisms of Periodic Heart Rate Oscillations: A Study Using Controlled Breathing Tests

  • A. R. Kiselev
  • V. F. Kirichuk
  • O. M. Posnenkova
  • V. I. Gridnev


An orthostatic test with frequency-controlled breathing (with periods of 4, 6, 8, 10, and 12 s) was used to analyze frequency estimates of the heart rate variability (HRV) spectrum in the low frequency (LF) and high frequency (HF) ranges in 36 volunteers (26 men and 10 women) aged 19–21 years without signs of heart or respiratory pathology. The subjects took a breath at the moment of an auditory signal. There were no other requirements for the respiration rhythm. Variables were compared using Wilcoxon’s test for pairwise comparisons; correlations were estimated by Spearman’s rank correlation R test. The sensitivities of the LF and HF ranges of the HRV spectrum to periodic respiratory perturbations at different frequencies were demonstrated to differ from each other. Autonomous 0.10- and 0.25-Hz circuits of oscillatory processes were found in HRV. The transition zone of influence of these circuits was located in the region around 0.125 Hz. The characteristics of the 0.10- and 0.25-Hz oscillations in HRV were studied. It was demonstrated that the 0.10-Hz oscillatory process is a potent mechanism of heart rate control, is affected by external factors, and determines the dynamics of the autonomic nervous state of the body, while the 0.25-Hz process is a regulatory mechanism of medium strength, is resistant to external factors, and characterizes the adaptation reserve of the autonomic nervous control of the heart rate, as well as the autonomic nervous state of the body. Resonance responses in the HRV spec-trum can be used for studying the characteristics of the 0.10- and 0.25-Hz oscillations.


Heart Rate Variability High Frequency Range Oscillatory Process Respiration Rhythm Periodic Heart 
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  1. 1.
    Glass, L., Synchronization and Rhythmic Processes in Physiology, Nature, 2001, vol. 410, p. 277.CrossRefPubMedGoogle Scholar
  2. 2.
    Ludwig, C., Beitrage zur Kenntnis des Einflusses der Respirationsbewegung auf den Blutlauf im Aortensystem, Arch. Anal. Physiol., 1847, vol. 13, p. 242.Google Scholar
  3. 3.
    Dornhorst, A.C., Howart, P., and Leathart, G.L., Respiratory Variations in Blood Pressure, Circulation, 1952, no. 6, p. 553.Google Scholar
  4. 4.
    Kiselev, A.R. and Kolizhirina, O.M., A New Approach to Studying the Internal Characteristics of the Autonomic Nervous Control of the Heart, Sarat. Nauchn.-Med. Vestn., 2002, vol. 1, no.1, p. 45.Google Scholar
  5. 5.
    Pitzalis, M.V., Mastropasqua, F., Massari, F., et al., Effect of Respiratory Rate on the Relationships between RR Interval and Systolic Blood Pressure Fluctuations: A Frequency-Dependent Phenomenon, Cardiovasc. Res., 1998, vol. 38, no.2, p. 332.CrossRefPubMedGoogle Scholar
  6. 6.
    Kay, S.M. and Marple, S.L., Spectrum Analysis: A Modern Perspective, Proc. IEEE, 1981, vol. 69, p. 1380.Google Scholar
  7. 7.
    Marple, S.L., Jr., Digital Spectral Analysis with Applications, Prentice-Hall, 1987.Google Scholar
  8. 8.
    Heart Rate Variability: Standard of Measurement, Physiological Interpretation, and Clinical Use, Circulation, 1996, vol. 93, no.5, p. 1043.Google Scholar
  9. 9.
    Shapiro, S.S., Wilk, M.B., and Chen, H.J., A Comparative Study of Various Tests of Normality, J. Am. Stat. Assoc., 1968, vol. 63, p. 1343.Google Scholar
  10. 10.
    Wilcoxon, F., Individual Comparisons by Ranking Methods, Biometr. Bull., 1945, vol. 1, p. 80.Google Scholar
  11. 11.
    Wilcoxon, F., Probability Tables for Individual Comparisons by Ranking Methods, Biometrics, 1947, vol. 3, p. 119.Google Scholar
  12. 12.
    De Boer, R.W., Karemuker, J.M., and Stracker, J., On the Spectral Analysis of Blood Pressure Variability, Am. J. Physiol., 1986, vol. 251, no.4, part 2, p. 685.Google Scholar
  13. 13.
    De Boer, R.W., Karemuker, J.M., and Stracker, J., Relationships between Short-Term Blood Pressure Fluctuations and Heart Variability in Resting Subjects: I. A Spectral Analysis Approach, Med. Biol. Eng. Comput., 1985, vol. 23, no.4, p. 352.PubMedGoogle Scholar
  14. 14.
    De Boer, R.W., Karemuker, J.M., and Stracker, J., Relationships between Short-Term Blood Pressure Fluctuations and Heart Variability in Resting Subjects: II. A Simple Model, Med. Biol. Eng. Comput., 1985, vol. 23, no.4, p. 359.PubMedGoogle Scholar
  15. 15.
    De Boer, R.W., Karemuker, J.M., and Stracker, J., Hemodynamic Fluctuations and Baroreflex Sensitivity in Humans: A Beat-to-Beat Model, Am. J. Physiol., 1987, vol. 253, no.3, p. 680.Google Scholar
  16. 16.
    Madwed, J.B., Albrecht, P., Mark, R.G., and Cohen, R.J., Low-Frequency Oscillation in Arterial Pressure and Heart Rate: A Simple Computer Model, Am. J. Physiol., 1989, vol. 256, no.6, p. 1573.Google Scholar
  17. 17.
    Malpas, S.C., Todd, A.H., Navakatikyan, et al., Resonance in Renal Vasculature Evoked by Activation f the Sympathetic Nerves, Am. J. Physiol., 1999, vol. 276, no.45, p. 1311.Google Scholar
  18. 18.
    Kuterman, E.M. and Khaspekova, N.B., Heart Rate during the Respiratory Test with Six Breaths a Minute, Fiziol. Chel., 1992, vol. 18, no.4, p. 52.Google Scholar
  19. 19.
    Malliani, A., Physiological Interpretation of Spectral Components of Heart rate Variability (HRV), Vestn. Aritmol., 1998, no. 9, p. 47.Google Scholar
  20. 20.
    Cavalcanti, S., Arterial Baroreflex Influence on Heart Rate Variability: A Mathematical Model-Based Analysis, Med. Biol. Eng. Comput., 2000, vol. 38, no.2, p. 189.PubMedGoogle Scholar
  21. 21.
    Ringwood, J.V. and Malpas, S.C., Slow Oscillations in Blood Pressure via a Nonlinear Feedback Model, Am. J. Physiol. Reg. Integr. Comp. Physiol., 2001, vol. 280, no.4, p. 1105.Google Scholar
  22. 22.
    Radhakrishna, K.K.A., Dutt, D.N., and Yeragani, V.K., Nonlinear Measures of Heart Rate Time Series: Influence of Posture and Controlled Breathing, Auton. Neurosci. Bas. Clin., 2000, vol. 83, no.3, p. 148.Google Scholar
  23. 23.
    Patwardhan, A., Evans, J., Bruce, E., and Knapp, C. Heart Rate Variability during Sympatho-Excitatory Challenges: Comparison between Spontaneous and Metronomic Breathing, Integr. Physiol. Behav. Sci., 2001, vol. 36, no.2, p. 109.PubMedGoogle Scholar
  24. 24.
    Aronov, D.M., Lupanov, V.P., Rogoza, A.N., and Lopatin, Yu.M., Functional Tests in Cardiology: Lecture VII: Functional Tests Based on Local Action on Nerve Terminals and Targeted Change in Venous Return, Kardiologiya, 1996, no. 7, p. 77.Google Scholar

Copyright information

© MAIK “Nauka/Interperiodica” 2005

Authors and Affiliations

  • A. R. Kiselev
    • 1
  • V. F. Kirichuk
    • 1
  • O. M. Posnenkova
    • 1
  • V. I. Gridnev
    • 2
  1. 1.Saratov State Medical UniversitySaratovRussia
  2. 2.Saratov Research Institute of CardiologyMinistry of Health of the Russian FederationSaratovRussia

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