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Internal Rhythmic Pattern of ECG Signal and the Efficiency of Adaptation to Cyclic Muscular Work

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Abstract

Spectral, coherent, and phase analysis within the low-frequency range of ECG records of athletic runners revealed that oscillations of ECG intervals (PQ-, RT-, P–T-, TP, and PP-intervals) were observed during orthostasis. These data were compared with the results of athletic exercise tests performed after the ECG examination. It was shown that the most effective type of adaptive reaction in these tests corresponds to a phase advance of the PQ-interval oscillations relative to the RT-interval oscillations. In the low-frequency range, the phases of the PQ-, RT-, and (P–T)-interval oscillations were ahead of the TP-interval oscillations, whereas the spectral density of the TP interval oscillations was significantly higher than the spectral density of the oscillations of the PC-, RT-, and (P–T)-intervals measured at the same frequency. The least effective type of adaptive reaction was shown to correlate with the phase advance of the TP-interval oscillations relative to the PQ-, RT-, and (P–T)-interval oscillations within the low-frequency range as well as with the lack of low-frequency modulation of the autospectra of the cardiac intervals of interest.

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REFERENCES

  1. Fel, L., Gill, J.S., Katritsis, D., and Camm, A.J., Abnor-mal Autonomic Modulation of QT Interval in Patients with Idiopathic Ventricular Tachycardia Associated with Clinically Normal Hearts, Br. Heart J., 1993, vol. 69, no. 4, p. 311.

    Google Scholar 

  2. Nollo, G.M., Del Greco, M., Ravelli, F., and Disertori, M., Evidence of Low-and High-Frequency Oscillations in Human AV Interval Variability: Evaluation with Special Analysis, Am. J. Physiol., 1994, vol. 267, no. 4, pt. 2, p. H1410.

    Google Scholar 

  3. Vainer, J., Van der Steld, B., Smeets, J.L., et al., Beat-to-Beat Behavior of QT Interval during Conducted Supraventricular Rhythm in the Normal Heart, Pacing Clin. Electrophysiol., 1994, vol. 17, no. 9, p. 1469.

    Google Scholar 

  4. Skinner, J.E., Wolf, S.G., Kresh, J.Y., et al., Application of Chaos Theory to a Model Biological System: Evi-dence of Self-Organization in the Intrinsic Cardiac Ner-vous System, Integrative Physiol. Behav. Sci., 1996, vol. 31, no. 2, p. 132.

    Google Scholar 

  5. Forester, J., Bo., H., Sleigh, W., and Henderson, J.D., Variability of R-R, P Wave-to-R Wave, and R Wave-to-T Wave Intervals, Am. J. Physiol., 1997, vol. 273, no. 6, pt. 2, p. H2857.

    Google Scholar 

  6. Yanushkevichus, Z.I., Chireikin, L.V., and Pranyavi-chu, A.A., Dopolnitel'no usilennaya elektrokardio-gramma (Additionally Amplified Electrocardiogram), Leningrad: Meditsina, 1990, p. 192.

    Google Scholar 

  7. Seluyanov, V.N., Myakinchenko, E.B., Kholodnyak, D.B., and Obukhov, S.M., Physiological Mechanisms and Methods of Determination of Aerobic and Anaerobic Thresholds, Teor. Prakt. Fiz. Kul't., 1991, no. 10, p. 10.

    Google Scholar 

  8. Zorin, A.I., Determination of Anaerobic Threshold Using a System of Respiratory Parameters, in Voprosy fizicheskogo vospitaniya studentov (Aspects of Physical Training of Students), St. Petersburg: St.-Petersb. Gos. Univ., 1992, vol. 39, p. 109.

    Google Scholar 

  9. Borilkevich, V.E., Zorin, A.I., Mikhailov, B.A., and Shir-inyan, A.A., Osnovy begovoi podgotovki v sportivnom orientirovanii (Basic Training in Running of Orientation Sportsmen), St. Petersburg: St.-Petersb. Gos. Univ., 1997.

    Google Scholar 

  10. Myakinchenko, E.B., Lokal'naya vynoslivost' v bege (Local Endurance in Run), Moscow: Fizkul'tura, Obra-zovanie, Nauka, 1997.

    Google Scholar 

  11. Radchenko, A.S., RF Patent no. 2106108, Byull. Izobret., 1998, no. 7.

  12. Radchenko, A.S., Borilkevich, V.E., and Zorin, A.I., Assessment of Efficiency of Adaptive Reaction in Cyclic Muscular Work, Teor. Prakt. Fiz. Kul't., 1997, no. 2, p. 2.

    Google Scholar 

  13. Radchenko, A.S., Borilkevich, V.E., Zorin, A.I., and Mirolyubov, A.V., Adaptive Reactions in Sportsmen dur-ing Cyclic Muscular Aerobic Work, Fiziol. Chel., 2001, vol. 27, no. 2, p. 122.

    Google Scholar 

  14. Kharkevich, A.A., Spektry i analiz (Spectra and Analy-sis), Moscow: Fizmatgiz, 1962.

    Google Scholar 

  15. Nidekker, I.G., Detection of Hidden Periodicity Uthing the Spectral Analysis Method, Cand. Sc. (Med.) Disser-tation, Moscow: Comput. Center USSR Acad. Sci., 1968.

    Google Scholar 

  16. Nidekker, I.G. and Fedorov, B.M., The Problem of Mathematical Analysis of Cardiac Rhythm, Fiziol. Chel., 1993, vol. 19, no. 3, p. 80.

    Google Scholar 

  17. Fedorov, B.M., Stress i sistema krovoobrashcheniya (Stress and Circulation System), Moscow: Meditsina, 1991.

    Google Scholar 

  18. Cooley, J.W. and Tukey, J.W., An Algorithm for the Machine Calculation of Complex Fourier Series, Math. Comput., 1965, vol. 19, p. 297.

    Google Scholar 

  19. Akselrod, S., Gordon, D., Ubel, F.A., et al., Power Spec-trum Analysis of Heart Rate Fluctuation: A Quantitative Probe of Beat-to-Beat Cardiovascular Control, Science, 1981, vol. 213, p. 220.

    Google Scholar 

  20. Malik, M., Heart Rate Variability. Standards of Measure-ments, Physiological Interpretation, and Clinical Use, Eur. Heart J., 1996, vol. 17, p. 354.

    Google Scholar 

  21. Fiser, B., Honzikova, N., and Penaz, J., Power Spectra of Spontaneous Variations of Indirectly Recorded Blood Pressure, Heart Rate, and Acral Blood Flow, Automed-ica, 1978, vol. 2, p. 143.

    Google Scholar 

  22. Monos, E. and Szucs, B., Effect of Changes in Mean Arterial Pressure on the Structure of Short-Term Blood Pressure Waves, Automeica, 1978, vol. 2, p. 149.

    Google Scholar 

  23. Penas, J., Meyer Waves: History and Methodology, Automeica, 1978, vol. 2, p. 135.

    Google Scholar 

  24. Zwiener, U., Physiological Interpretation of Autospec-tra, Coherence, and Phase Spectra of Blood Pressure, Heart Rate, and Respiration Waves in Man, Automeica, 1978, vol. 2, p. 161.

    Google Scholar 

  25. Bernardi, L., Leuzzi, S., Radaelli, A., et al., Low-Fre-quency Spontaneous Fluctuations of R-R Interval and Blood Pressure in Conscious Humans: A Baroreceptor or Central Phenomenon? Clin. Sci. (Colch.), 1994, vol. 87, no. 6, p. 649.

    Google Scholar 

  26. Malliani, A., Pagani, M., and Lombardi, F., Physiology and Clinical Implications of Variability of Cardiovascu-lar Parameters with Focus on Heart Rate and Blood Pres-sure, Am. J. Cardiol., 1994, vol. 73, no. 10, p. 3C.

    Google Scholar 

  27. Guzzetti, S., Cogliati, C., Broggi, C., et al., Influences of Neural Mechanisms on Heart Period and Arterial Pres-sure Variabilities in Quadriplegic Patients, Am. J. Phys-iol., 1994, vol. 266, no. 3, pt. 2, p. H112.

    Google Scholar 

  28. Macor, F., Fagard, R., and Amery, A., Power Spectral Analysis of RR Interval and Blood Pressure Short-Term Variability at Rest and during Rhythmic Exercise: Comparison between Cyclists and Controls, Int. J. Sports Med., 1996, vol. 17, no. 3, p. 175.

    Google Scholar 

  29. Meerson, Z.F., Adaptatsiya serdtsa k bol'shoi nagruzke i serdechnaya nedostatochnost' (Heart Adaptation to Enhanced Load and Cardiac Insufficiency), Moscow: Nauka, 1975.

    Google Scholar 

  30. Fatenkov, V.N., On the Mechanisms of Cardiac Diastole, Fiziol. Zh. SSSR, 1983, vol. 69, no. 5, p. 666.

    Google Scholar 

  31. Konstantinov, B.A., Sandrikov, V.A., and Yakovlev, V.F., Otsenka proizvoditel'nosti i analiz potsiklovoi raboty serdtsa v klinicheskoi praktike (Cardiac Productivity Assessment and Analysis of Beat-to-Beat Activity of Heart in Clinical Practice), Leningrad: Nauka, 1986.

    Google Scholar 

  32. General Course of Lectures on Human and Animal Physiology, vol. 2: Physiology of Visceral Systems. Text-book for Biological and Medical Universities, Nozdrachev, A.D., Ed., Moscow: Vysshaya shkola, 1991.

  33. Furlan, R., Plazza, S., Dell'Orto, S., et al., Early and Late Effects of Exercise and Athletic Training on Neural Mechanisms Controlling Heart Rate, Cardiovasc. Res., 1993, vol. 27, no. 3, p. 482.

    Google Scholar 

  34. Gibbs, C.L. and Chapman, J.B., Cardiac Energetics, in Handbook of Physiology, section 2: The Cardiovascular System, Bethesda, 1979, vol. 1, p. 775.

    Google Scholar 

  35. Boganov, V.N., Energy Mode of Cardiac Activity during Muscular Work, in Problemy sportivnoi kardiologii (Problems of Sports Cardiology), Moscow, 1975, vol. 6, p. 13.

    Google Scholar 

  36. Karpman, V.L. and Abrikosova, M.A., Certain General Trends in Adaptation of Human Cardiovascular System to Physical Load, Usp. Fiziol. Nauk, 1979, vol. 10, no. 2, p. 97.

    Google Scholar 

  37. Meerson, F.Z., Mukharlyamov, N.M., Belenkov, Yu.N., et al., Effects of Adaptation to Physical Loads during Contraction and Relaxation of Bulk Left Cardiac Ventri-cle, Fiziol. Chel., 1979, vol. 5, no. 3, p. 650.

    Google Scholar 

  38. Ivanov, K.P., Osnovy energetiki organizma: Teore-ticheskie i practicheskie aspekty (Fundamentals of Human Body Energetics: Theoretical and Practical Aspects), vol. 2 Biologicheskoe okislenie i ego snabzhe-nie kislorodom (Biological Oxidation and Oxygen Sup-ply), St. Petersburg: Nauka, 1993.

    Google Scholar 

  39. Scuchhardt, S., Myocardial Oxygen Pressure, Adv. Exp. Med. Biol., 1985, vol. 191, p. 21.

    Google Scholar 

  40. Medvedev., V.I., Funktsional'noe sostoyanie golovnogo mozga cheloveka. Mekhanizmy deyatel'nosti mozga che-loveka (Rukovodstvo po fiziologii) (Functional State of Human Brain. Mechanisms of Activity of Human Brain (Handboook of Physiology)), Leningrad: Nauka, 1988.

    Google Scholar 

  41. Medvedev., V.I. and Leonova, A.B., Funktsional'noe sostoyanie cheloveka. Fiziologiya trudovoi deyatel'nosti (Functional State of Human Body. Physiology of Work-ing Activity), St. Petersburg: Nauka, 1993.

    Google Scholar 

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Authors and Affiliations

  1. St. Petersburg State Chemico-Pharmaceutical Academy, St. Petersburg, Russia

    A. S. Radchenko

  2. St. Petersburg State University, St. Petersburg, Russia

    V. E. Borilkevich & A. I. Zorin

  3. St. Petersburg Electrotechnical University, St. Petersburg, Russia

    A. V. Borodin

  4. Medical Military Academy, St. Petersburg, Russia

    A. V. Mirolyubov

Authors
  1. A. S. Radchenko
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  2. V. E. Borilkevich
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  3. A. V. Borodin
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  4. A. I. Zorin
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  5. A. V. Mirolyubov
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Radchenko, A.S., Borilkevich, V.E., Borodin, A.V. et al. Internal Rhythmic Pattern of ECG Signal and the Efficiency of Adaptation to Cyclic Muscular Work. Human Physiology 28, 65–74 (2002). https://doi.org/10.1023/A:1013960402286

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