BIOFEEDBACK QUALITY IN HEALTHY VOLUNTEERS IN PACED BREATHING ALGORITHM STARTING FROM THE AGE PHYSIOLOGICAL NORM
Keywords:
heart rate variability, biofeedback, paced breathing, regulatory systems
Abstract
In 14 healthy volunteers aged from 18 to 26 years (5 men and 9 women) 7 sessions of biofeedback-based algorithm on the basis of adaptive variable-frequency paced breath by means heart rate variability (HRV) parameters control in order to achieve their values most close to the physiological standards. Established that biofeedback based on paced breathing and HRV parameters can influence on regulatory systems of the body and can be used for their evaluation and monitoring. In healthy volunteers the high quality of biofeedback in terms of paced breathing frequency changes and HRV parameters reactions on it was established.Downloads
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References
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3. Schwartz MS, Andrasik F. Biofeedback: A Practitioner’s Guide. 3rd ed. / MS Schwartz, F Andrasik. New York, NY : Guilford Press; 2003.
4. Кулик А. Л. Частота дыхания и вариабельность сердечного ритма у здоровых добровольцев в биообратной связи / А. Л. Кулик, А. К. Задерихин, В. И. Шульгин, Н. И. Яблучанский // Вісник Харківського національного університету ім. В. Н. Каразіна. – 2009. – № 879. – С. 20–24.
5. Esler М. Reduced HRV and baroreflex sensitivity as universally applicable cardiovascular «risk factors» : waiting for the bubble to burst / М. Esler, E .Lambert // Clinical Autonomic Research. – 2003. – № 13 (3). – P. 170–172.
6. Lombardi F. Chaos theory, heart rate variability, and arrhythmic mortality / Circulation – 2000. – № 101 (1). – P. 8–10.
7. Kobayashi H. Does paced breathing improve the reproducibility of heart rate variability measurements? / H. Kobayashi // J Physiol Anthropol. – 2009. – № 28 (5). – P. 225–30.
8. Fang Y. Effect of different breathing patterns on nonlinearity of heart rate variability / Y. Fang, J. T. Sun, C. Li [et al.] //Conf Proc IEEE Eng Med Biol Soc. – 2008. – P. 3220–3.
9. Lehrer P. M. Resonant frequency biofeedback training to increase cardiac variability: rationale and manual for training / P. M. Lehrer, E. Vaschillo, B. Vaschillo // Appl Psychophysiol Biofeedback. – 2000. – № 25. – P. 177–91.
10. Perakakis P. Breathing frequency bias in fractal analysis of heart rate variability / P. Perakakis, M. Taylor, E. Martinez-Nieto [et al.] // Biol Psychol. – 2009. – № 82 (1). – P. 82–88.
11. Van de Louw A. Breathing cardiovascular variability and baroreflex in mechanically ventilated patients. / A. Van de Louw, C. Medigue, Y. Papelier [et al.] //Am J Physiol Regul Integr Comp Physiol. – 2008. – № 295 (6). – P. 1934–1940.
12. 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 // Eur Heart J. – 1996. – № 17 (3). – P. 354–81.
13. Яблучанский Н. И. Вариабельность сердечного ритма в помощь практическому врачу [Електрон-ний ресурс] / Н. И. Яблучанский, А. В. Мартыненко // Режим доступу: http://dspace.univer.kharkov. ua/handle/123456789/1462
14. Yabluchansky N. The heart rate variability (HRV) Point: Counterpoint discussion raises a whole range of questions, and our attention has also been attracted by the topic. / N. Yabluchansky, A. Kulik, A. Martynenko // J Appl Physiol. – 2007. – № 102. – P. 1715.
How to Cite
Belal, S. A., Lynskaya, K. I., Kulik, A. L., Martynenko, A. V., Zaderykhin, A. K., Shulgin, V. I., & Yabluchansky, N. I. (1). BIOFEEDBACK QUALITY IN HEALTHY VOLUNTEERS IN PACED BREATHING ALGORITHM STARTING FROM THE AGE PHYSIOLOGICAL NORM. The Journal of V. N. Karazin Kharkiv National University, Series "Medicine", (21), 29-37. Retrieved from https://periodicals.karazin.ua/medicine/article/view/6891
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