Saratov JOURNAL of Medical and Scientific Research

Method of synchronization assessment of rythms in regulatory systems for signal analysis in real time

Summary:

A method is proposed for quantitative assessment of the phase synchronization of 0.1 Hz oscillations in autonomic cardiovascular control by photoplethysmogram analysis in real time. The efficiency of the method is shown in the comparison with the results obtained by the previously developed method.

Bibliography:
1. Rosenblum MG, Pikovsky AS, Kurths J, et al. Phase synchronization: from theory to data analysis. Handbook of Biological Physics 2001; 4: 279-321. 2. Fleishman AN. Heart rate variability and slow hemodynam-ic oscillations: Nonlinear phenomena in clinical practice. Izvestiya Vysshikh Uchebnykh Zavedeniy. Prikladnaya Nelineynaya Din-amika 2011; 19 (3): 179-183. Russian (Флейшман A. H. Вариабельность ритма сердца и медленные колебания гемодинамики: нелинейные феномены в клинической практике. Известия высших учебных заведений. Прикладная нелинейная динамика 2011; 19 (3): 179-183.) 3. Goldberger AL. Chaos and fractals in human physiology. SciAm 1990;262:42-49. 4. Baevskiy RM, Ivanov GG, Gavrilushkin AP, et al. Analysis of heart rate variability using different electrocardiographic systems (guidelines). VestnikAritmologii 2002; (24): 65-86; 5. Kiselev AR, Bespyatov АВ, Posnenkova ОМ, et al. Internal synchronization of the main 0.1-Hz rhythms in the autonomic control of the cardiovascular system. Human Physiology 2007; 33(2): 188-193; 6. Karavaev AS, Prokhorov MD, Ponomarenko VI, et al. Synchronization of low-frequency oscillations in the human cardiovascular system. Chaos 2009; 19: 033112; 7. Kiselev AR, Gridnev VI, Karavaev AS, et al. Method of estimation of synchronization between 0.1 Hz-rhythms in heart rate variability and in variability of blood filling of microcirculatory bed. Funktsional'naya diagnostika 2011; (4): 28-35; 8. Kiselev AR, Khorev VS, Gridnev VI, et al. Interaction of 0.1-Hz Oscillations in heart rate variability and distal blood flow variability. Human Physiology 2012; 38 (3): 303-309; 9. Bezruchko BP, Karavaev AS, Ponomarenko VI, Prokhorov MD. Reconstruction of time-delay systems from chaotic time series. Physical Review E 2001; 64: 056218; 10. Karavaev AS, Ponomarenko VI, Prokhorov MD. Recovery models scalar systems with delay time series. Pisma v Zhurnal Tekhnicheskoy Fiziki 2001; 27 (10): 43-51; 11. Bezruchko BP, Seleznev YeP, Ponomarenko VI, et al. Special approaches to global reconstruction of equations from time series. Izvestiya Vysshikh Uchebnykh Zavedeniy. Prikladnaya Nelineynaya Dinamika 2002; 10 (3): 137-158; 12. Prokhorov MD, Ponomarenko VI, Karavaev AS. Recovery systems of equations with delay under external influence on the time-series. Pisma v Zhurnal Tekhnicheskoy Fiziki 2004; 30 (2): 81-88; 13. Ponomarenko VI, Prokhorov MD, Karavaev AS, Bezruchko BP. Recovery of parameters of delayed-feedback systems from chaotic time series. Journal of Experimental and Theoretical Physics 2005; 100 (3): 457-467; 14. Karavaev AS, Ponomarenko VI, Prokhorov MD, et al. Reconstruction of the system of baroreflex arterial pressure regulation from experimental data. Tekhnologii zhivykh sistem 2007; 4 (4): 34-41; 15. Bezruchko BP, Ponomarenko VI, Prokhorov MD, et al. Modeling nonlinear oscillatory systems and diagnostics of coupling between them using chaotic time series analysis: Applications in neurophysiology. Physics-Uspekhi 2008; 51 (3): 304-310; 16. Kiselev AR, Gridnev VI, Posnenkova OM, 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. TerArkh 2007; 79 (4): 23-31; 17. Kiselev AR, Gridnev VI, Karavaev AS, et al. The Dynamics of 0.1 Hz oscillations synchronization in cardiovascular system during the treatment of acute myocardial infarction patients. Applied Medical Informatics 2011; 28 (1): 1-8; 18. Kiselev AR, Gridnev VI, Karavaev AS, 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; 19. Kiselev AR, Gridnev VI, Prokhorov MD, et al. Evaluation of 5-year risk of cardiovascular events in patients after acute myocardial infarction using synchronization of 0.1-Hz rhythms in cardiovascular system. Annals of Noninvasive Electrocardiology 2012; 17(3): 204-213; 20. Kiselev AR, Karavaev AS, Gridnev VI, et al. Dynamics of synchronization of autonomic regulation of heart rate and blood pressure in healthy subjects during two-hour immobilization test with horizontal position of body. Bulletin of Medical Internet Conferences 2012; 2 (8): 604-607; 21. Karavaev AS, Kiselev AR, Gridnev VI, et al. Phase and frequency locking of 0.1-Hz oscillations in heart rate and baro-reflex control of blood pressure by breathing of linearly varying frequency as determined in healthy subjects. Human Physiology 2013; 39 (4): 416-425; 22. Borovkova El, Karavaev AS, Kiselev AR, et al. Method for diagnostics of synchronization of 0.1 Hz rhythms of cardiovascular system autonomic regulation in real time. AnnalyAritmologii 2014; 11 (2): 84-86; 23. Kulminskiy DD, Astakhov OV, Kiselev AR, Karavaev AS. Diagnostics of synchronization of 0.1 Hz rhythms of cardiovascular system using univariate data. In: Abstracts of VIII Conference of Young Scientists "Nanophotonics and nanoelec-tronics and nonlinear physics". Russia, Saartov: Saratov State University, 2013; p. 139-141; 24. Kulminskiy DD, Karavaev AS. Developing a portable monitor to assessment of synchronization rhythms in cardiovascular system. In: Materials of the annual All-Russian Scientific Workshop "Methods of computer diagnostics in biology and medicine — 2012". Saratov, Russia, 2012; p. 217-218; 25. Galkin М, Zmievskoy G, Laryushin A, Novikov V Car-dio-diagnostic based on photoplethysmogramm analysis by means of dual channel plethysmograph. Fotonika 2003; (3): 30-35; 26. Ayficher Е, Dzhervis В. Digital signal processing: а practical approach. 2nd ed. Moscow: VN'yams, 2004.

AttachmentSize
2014_03_390-395.pdf783.62 KB

No votes yet