Saratov JOURNAL of Medical and Scientific Research

Investigation of statistical characteristics of interaction between the low-frequency oscillations in heart rate variability and peripheral microcirculation in healthy subjects and myocardial infarction patients

Year: 2015, volume 11 Issue: №4 Pages: 537-542
Heading: cardiac surgery Article type: Original article
Authors: Shvartz V.A., Karavaev A.S., Borovkova E.l., Mironov S.A., Ponomarenko V.I., Prokhorov M.D., Butenko A.A., Gridnev V.I., Kiselev A.R.
Organization: Saratov state university, Saratov Institute of Cardiology, Russia, Saratov Branch of Institute of Radio Engineering and Electronics n.a. V.A. Kotelnikov, Bakulev Center of Cardiovascular Surgery
Summary:

Objective. This study compares the statistical characteristics of interaction between 0.1 Hz oscillations in heart rate variability (HRV) and photoplethysmogram (PPG) in healthy subjects and myocardial infarction (Ml) patients. Material and methods. We studied 23 healthy subjects (20 men and 3 women aged 26±3 years) and 23 patients (12 men and 11 women aged 52±4 years) at about one month after Ml. The 10-minute signals of simultaneously recorded cardioin-tervalogram (CIG) and PPG were studied. We calculated the total percentage of phase synchronization between the studied 0.1 Hz oscillations and estimated the distribution functions of duration of synchronous and non-synchronous epochs, the variability of basic frequency of oscillations, and variance of phase noises in 0.1 Hz oscillations in HRV and PPG. Results. The total percentage of phase synchronization between 0.1 Hz oscillations is significantly greater in healthy subjects than in Ml patients (47±3% and 26±4%, respectively). Significant difference between these two groups in the distribution of duration of synchronous and non-synchronous epochs was not revealed. The Ml patients had greater variance between the basic frequencies of 0.1 Hz oscillations in HRV and PPG than healthy subjects. This phenomenon correlates with the increased level of phase noises in the records of Ml patients. Conclusion. The quality of synchronization between 0.1 Hz oscillations in HRV and PPG is associated with the strength of influence of external factors (noises) and variability of the basic frequency of these oscillations.

Bibliography:
1. Heart rate variability: Standards of measurement, physiological interpretation, and clinical use: Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology. Circulation 1996; 93: 1043-1065
2. Obrig H, Neufang M, Wenzel R, et al. Spontaneous low frequency oscillations of cerebral hemodynamicsand metabolism in human adults. Neuroimage 2000; 12: 623-639
3. Song S, Kim D, Jang DP, et al. Low-frequency oscillations in cerebrovascular and cardiovascular hemodynamics: Their interrelationships and the effect of age. Microvasc Res 2015; 102:46-53
4. Burgess DE, Hundley JC, Brown DR, et al. First-order differential-delay equation for the baroreflex predicts the 0.4-Hz blood pressure rhythm in rats. American Journal of Physiology 1997; 273: R1878-R1884
5. Ringwood JV, Malpas SC. Slow oscillations in blood pressure via a nonlinear feedback model. Am J Physiol Regul Integr Comp Physiol 2001; 280 (4): R1105-R1115
6. Borovkova Yl, Karavaev AS, Bezruchko BP, et al. Uncovering frequency locking for systems affected by chirping. Bulletin of the Russian Academy of Sciences: Physics 2011; 75 (12): 1601-1604
7. Karavaev A.S., Kiselev A.R., Gridnev V.I., et al. Phase and frequency locking of 0.1 -Hz oscillations in heart rate and baroreflex control of blood pressure by breathing of linearly varying frequency as determined in healthy subjects. Human Physiology 2013; 39 (4): 416-425
8. Kiselev A.R., Bespyatov A.B., Posnenkova О.М., etal. Internal synchronization of the main 0.1-Hz rhythms in the autonomic control of the cardiovascular system. Human Physiology 2007; 33 (2): 188-193
9. Kiselev A.R., Gridnev V.I., Karavaev A.S., et al. The method of studying the synchronization of 0.1 Hz oscillations in heart rate variability and variability of microvascular blood flow. Funktsional'naya Diagnostika 2011; (4): 28-35
10. Kiselev A.R., Gridnev V.I., Posnenkova О.М., et al. Assessment of dynamics of the autonomic cardiovascular system regulation based on low-frequency rhythm synchronization in patients with ischemic heart diseases complicated by myocardial infarction treated with metoprolol. Ter Arkh 2007; 79 (4): 23-31
11. Kiselev A.R., Gridnev V.I., Karavaev A.S., et al. Evaluation of five-year risk of lethal outcome and development of cardiovascular disorders in patients with acute myocardial infarction on basis of 0.1-Hz rhythms synchronization in cardiovascular system. Saratov Journal of Medical Scientific Research 2010; 6 (2): 328-338
12. Kiselev A.R., Gridnev V.I., Karavaev A.S., et al. Individual approach to antihypertensive drug selection in hypertensive patients based on individual features of autonomic cardiovascular dysfunction. Arterial Hypertension 2011; 17 (4): 354-360
13. Bunde A, Havlin S, Kantelhardt JV, et al. Correlated and uncorrelated regions in heart-rate fluctuations during sleep. Phys Rev Lett 2000; 85: 3736-3739
14. Togo F, Yamamoto Y Decreased fractal component of human heart rate variability during non-REM sleep. Am J Physiol Heart Circ Physiol 2001; 280 (1): H17-H21
15. Kotani K, Struzik ZR Takamasu K, et al. Model for complex heart rate dynamics in health and disease. Physical Review E 2005; 72: 041904
16. Horsman HM, Peebles КС, Tzeng YC. Interactions between breathing rate and low-frequency fluctuations in blood pressure and cardiac intervals. J Appl Physiol 2015; 119 (7): 793-798
17. Higgins JL, Fronek A. Photoplethysmographic evaluation of the relationship between skin reflectance and skin blood volume. J Biomed Engineering 1986; 8: 130-136
18. Rhee S, Yang BH, Asada H. Theoretical evaluation of the influence of displacement on finger photoplethysmography for wearable health monitoring sensors. In: ASME International Mechanical Engineering Congress and Exposition, Symposium on Dynamics, Control, and Design of Biomechanical Systems. Nashville, Tennessee, November 14-19, 1999
19. Stefanovska A, Bracic M, Kvernmo HD. Wavelet analysis of oscillations in the peripheral blood circulation measured by laser Doppler technique. IEEE Trans Biomed Eng 1999; 46: 1230-1239
20. Guasti L, Mainardi LT, Baselli G, et al. Components of arterial systolic pressure and RR-interval oscillation spectra in a case of baroreflex failure, a human open-loop model of vascular control. J Hum Hypertens 2010; 24 (6): 417-426.

AttachmentSize
2015_04_537-542.pdf411.1 KB

No votes yet