중국 기공 및 쿤달리니 요가 명상이 숙련자의 심박변이율(HRV) 변화에 미치는 영향에 관한 연구
A Study on the Effects of Chinese Qigong and Kundalini Yoga Meditations on the Heart Rate Variability of Skilled Students
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In this paper, we have investigated effects of two specific meditations (Chinese qigong meditation and Kundalini yoga meditation) on the heart rate variability (HRV), which is a well-known quantitative measure of autonomic balance, of skilled students. To analyze the effects, the MIT/BIH physionet database was utilized. The database includes RR intervals of eight skilled Chinese qigong meditators (5 women and 3 men; age range 26-35) and four skilled Kundalini yoga meditators (2 women and 2 men; age range 20-52). RR intervals of each subject were measured before and during the meditations. For HRV analysis, we have used typical four HRV parameters - the low frequency to high frequency power ratio (LF/HF ratio), SD2/SD1 ratio, sample entropy, and fractal dimension. The LF/HF ratio was calculated by the autoregressive spectrum and the SD2/SD1 ratio was derived from the Poincarè plot. The sample entropy was computed from the phase space plot and the fractal dimension was estimated by the Higuchi’s algorithm. In the experiments, the Wilcoxon signed rank test was employed because we used small datasets and compared HRV parameters before and during the meditations. As a result, we have found increment of the LF/HF and SD2/SD1 ratios in both meditations; whereas the sample entropy is decreased during the meditations. In addition,the fractal dimension is increased during the Chinese qigong meditation; whereas it is decreased during the Kundalini yoga meditation. The results show that the sympathetic nervous system is generally more activated in skilled Chinese qigong and Kundalini yoga meditators, but the activation of the parasympathetic nervous tone is suppressed.
Abstract
In this paper, we have investigated effects of two specific meditations (Chinese qigong meditation and Kundalini yoga meditation) on the heart rate variability (HRV), which is a well-known quantitative measure of autonomic balance, of skilled students. To analyze the effects, the MIT/BIH physionet database was utilized. The database includes RR intervals of eight skilled Chinese qigong meditators (5 women and 3 men; age range 26-35) and four skilled Kundalini yoga meditators (2 women and 2 men; age range 20-52). RR intervals of each subject were measured before and during the meditations. For HRV analysis, we have used typical four HRV parameters - the low frequency to high frequency power ratio (LF/HF ratio), SD2/SD1 ratio, sample entropy, and fractal dimension. The LF/HF ratio was calculated by the autoregressive spectrum and the SD2/SD1 ratio was derived from the Poincarè plot. The sample entropy was computed from the phase space plot and the fractal dimension was estimated by the Higuchi’s algorithm. In the experiments, the Wilcoxon signed rank test was employed because we used small datasets and compared HRV parameters before and during the meditations. As a result, we have found increment of the LF/HF and SD2/SD1 ratios in both meditations; whereas the sample entropy is decreased during the meditations. In addition,the fractal dimension is increased during the Chinese qigong meditation; whereas it is decreased during the Kundalini yoga meditation. The results show that the sympathetic nervous system is generally more activated in skilled Chinese qigong and Kundalini yoga meditators, but the activation of the parasympathetic nervous tone is suppressed.
참고문헌 (26)
- Y.O. Jeon, "Appearance and Future Prospects for Well-being Trends", pp.1~34 (2005), SERI
- 2003 Korean Social Indicator, "Statistics Korea", Statistics Korea, 9~ (2003)
- 2008 Results of Social Research (Welfare and Family), "Statistics Korea", Statistics Korea, 1~31 (2008)
- 서진우, "심박변이도(HRV : Heart Rate Variability) 측정을 통한 정서 상태 및 명상의 종류별 명상 효능 평가", 동의신경정신과학회지, 20(3), pp.133~147 (2009), 대한한방신경정신과학회
- H.D. Coulter, "Anatomy of Hatha Yoga - A Manual for Students, Teachers, and Practitioners", pp.541~594 (2001), Body and Breath Inc
- C.K. Peng, "Heart rate dynamics during three forms of meditation", International Journal of Cardiology, 95, pp.19~27 (2004)
- T.H. Kim, "Biofunctional Medicine", pp.81~101 (2008), Koonja Press
- Task Force of The European Society of Cardiology, "Heart rate variability - standards of measurement, physiological interpretation, and clinical use", European Heart Journal, 17, pp.354~381 (1996)
- M.M. Wolf, "Sinus arrhythmia in acute myocardial infarction", Medical Journal of Australia, 2(2), pp.52~53 (1978)
- A. Malliani, "Cardiovascular neural regulation explored in the frequency domain", Circulation, 84, pp.1482~1492 (1991)
- Y. Arai, "Modulation of cardiac autonomic activity during and immediatelyafter exercise", American Journal of Physiology, 256, pp.132~141 (1989)
- K.T. Kim, "A study on standardization of measuring time for heart rate variability", The Journal of The Korean Institute of Oriental Medical Diagnostics, 10(2), pp.88~103 (2006)
- Y.S. Kim, "Autonomic Nervous Function Assessment", pp.187~197 (2007), Koonja Press
- J.M. Lee, "A study on the analysis of nonlinear characteristics of ECG", Journal of KOSOMBE, 15(2), pp.151~157 (1994)
- S. Guzzetti, "Nonlinear dynamics and chaotic indices in heart rate variability of normal subjects and heart-transplanted patients", Cardiovascular Research, 31, pp.441~446 (1996)
- C.K. Peng, "Exaggerated heart rate oscillations during two meditationtechniques", International Journal of Cardiology, 70, pp.101~107 (1999)
- A.U. Rajendra, "Advances in Cardiac Signal Processing", pp.121~165 (2006), Springer
- J.S. Richman, "Physiological time series analysis using approximate entropy and sample entropy", American Journal of Physiology, 283(3), pp.789~797 (2002)
- T. Higuchi, "Approach to an irregular time series on the basis of the fractal theory", Physica D, 31, pp.277~283 (1988)
- J.O. Ahn, "Statistical Analysis of Biomedical Data Using SPSS18.0", pp.436~442 (2011), Hannarae Publishing Co
- P. Guzik, "Heart rate variability by Poincarè plot and spectral analysis in young healthy subjects and patients with type 1 diabetes", Folia Cardiologica, 12, pp.64~67 (2005)
- M.S. Lee, "Effects of Qi-training on heart rate variability", The American Journal of Chinese Medicine, 30(4), pp.463~470 (2002)
- C. Peressutti, "Heart rate dynamics in different levels of Zen meditation", International Journal of Cardiology, 145(1), pp.142~146 (2009)
- S. Phongsuphap, "Changes in heart rate variability during concentration meditation", International Journal of Cardiology, 130, pp.481~484 (2008)
- E. Jovanov, "On spectral analysis of heart rate variability during very slow yogic breathing", Proc. Of IEEE Engineering in Medicine and Biology, pp.2467~2470 (2005)
- P. Raghuraj, "Effect of two selected yogic breathing techniques on heart rate variability", Indian Journal of Physiological and Pharmacology, 42(4), pp.467~472 (1998)
