RISS 검색 - 국내학술지논문 상세보기

다국어 초록 (Multilingual Abstract)

Objectives: Acupuncture treatments are safe and effective for a wide variety of diseases involving autonomic dysregulation. Heart rate variability (HRV) is a noninvasive method for assessing sympathovagal balance. The low frequency/high frequency (LF/HF) spectral power ratio is an index of sympathovagal influence on heart rate and of cardiovascular health. This study tests the hypothesis that from rest to 30% to 50% of peak oxygen consumption, the nonlinear Conte-Zbilut-Federici (CZF) method of computing the LF/HF ratio is a more reliable index of changes in the HRV than linear methods are. Methods: The subjects of this study were 10 healthy young adults. Electrocardiogram RR intervals were measured during 6-minute periods of rest and aerobic exercise on a cycle ergometer at 30% and 50% of peak oxygen consumption ($VO_{2peak}$). Results: The frequency domain CZF computations of the LF/HF ratio and the time domain computations of the standard deviation of normal-to-normal intervals (SDNN) decreased sequentially from rest to 30% $VO_{2peak}$ (P < 0.001) to 50% $VO_{2peak}$ (P < 0.05). The SDNN and the CZF computations of the LF/HF ratio were positively correlated (Pearson's r = 0.75, P < 0.001). fast Fourier transform (FFT), autoregressive (AR) and Lomb periodogram computations of the LF/HF ratio increased only from rest to 50% $VO_{2peak}$. Conclusion: Computations of the LF/HF ratio by using the nonlinear CZF method appear to be more sensitive to changes in physical activity than computations of the LF/HF ratio by using linear methods. Future studies should determine whether the CZF computation of the LF/HF ratio improves evaluations of pharmacopuncture and other treatment modalities.

참고문헌 (Reference)

1 Tripathi KK, "Very low frequency oscillations in the power spectra of heart rate variability during dry supine immersion and exposure to non-hypoxic hypobaria" 32 (32): 717-729, 2011

2 Sun J, "Transcutaneous electrical acupuncture stimulation as a countermeasure against cardiovascular deconditioning during 4 days of head-down bed rest in humans" 33 (33): 381-387, 2015

3 Conte EW, "Traditional and a new methodology for analysis of heart rate variability: a review by physiological and clinical experimental results" 13 (13): 206-293, 2012

4 Mainardi LT, "Time-frequency and time-varying analysis for assessing the dynamic responses of cardiovascular control" 30 (30): 175-217, 2002

5 Labinson PT, "The importance of the clinical observer in the development of a white-coat effect in African-American patients with hypertension" 13 (13): 139-142, 2008

6 Fagard RH, "Sympathetic activity, assessed by power spectral analysis of heart rate variability, in white-coat, masked and sustained hypertension versus true normotension" 25 (25): 2280-2285, 2007

7 Mendonca GV, "Spectral methods of heart rate variability analysis during dynamic exercise" 19 (19): 237-245, 2009

8 Parati G, "Spectral analysis of blood pressure and heart rate variability in evaluating cardiovascular regulation. a critical appraisal" 25 (25): 1276-1286, 1995

9 Clifford GD, "Segmenting cardiac-related data using sleep stages increases separation between normal subjects and apnoeic patients" 25 (25): 27-35, 2004

10 Clifford GD, "Quantifying errors in spectral estimates of HRV due to beat replacement and resampling" 52 (52): 630-638, 2005