POWER SPECTRUM ANALYSIS OF HEART-RATE-VARIABILITY TO ASSESS THE CHANGES IN SYMPATHOVAGAL BALANCE DURING GRADED ORTHOSTATIC TILT
POWER SPECTRUM ANALYSIS OF HEART-RATE-VARIABILITY TO ASSESS THE CHANGES IN SYMPATHOVAGAL BALANCE DURING GRADED ORTHOSTATIC TILT
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DOI：
10.1161/01.cir.90.4.1826
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发表时间：
1994-10-01
期刊：
影响因子：
37.8
通讯作者：
MALLIANI, A
中科院分区：
文献类型：
--
作者：
MONTANO, N;RUSCONE, TG;MALLIANI, A
研究背景：心率变异性（HRV）的低频（LF）和高频（HF）振荡的功率在其相互关系中似乎反映了在许多生理和病理生理条件下发生的交感迷走神经平衡状态的变化。然而，没有足够的信息是可用的定量分辨率的这种methodology.Methods和结果我们研究了22名健康志愿者（中位年龄，46.5岁）谁是经过一个休息期，随机选择从以下角度一系列被动头向上倾斜的步骤：15度，30度，45度，60度，和90度。从连续ECG，适当的模数转换后，个人计算机被用来计算，与自回归方法，RR间期变异性的时域和频域指数。同时记录的呼吸信号的频谱和交叉频谱分析排除了其对LF的贡献。年龄显着相关的方差和绝对值平方毫秒的甚低频（VLF），LF和HF组件。倾斜角与LF和HF（以标准化单位[nu]表示）以及LF与HF比值相关（r分别为0.78、-0.72和0.68）。HF（单位：ms（2））和RR间期的相关性较低。倾斜角度与方差、VLF或LF（单位：ms（2））之间不存在相关性。个别分析证实，使用NU提供了最大的一致性的result.Conclusions频谱分析的HRV，使用NU或LF-HF的比率，似乎是能够提供一个非侵入性的定量评价的交感迷走神经平衡的状态的分级变化。
Background The powers of the low-frequency (LF) and high-frequency (HF) oscillations characterizing heart rate variability (HRV) appear to reflect, in their reciprocal relationship, changes in the state of the sympathovagal balance occurring during numerous physiological and pathophysiological conditions. However, no adequate information is available on the quantitative resolution of this methodology.Methods and Results We studied 22 healthy volunteers (median age, 46.5 years) who were subjected after a rest period to a series of passive head-up tilt steps randomly chosen from the following angles: 15 degrees, 30 degrees, 45 degrees, 60 degrees, and 90 degrees. From the continuous ECG, after appropriate analog-to-digital conversion, a personal computer was used to compute, with an autoregressive methodology, time and frequency domain indexes of RR interval variability. Spectral and cross-spectral analysis with the simultaneously recorded respiratory signal excluded its contribution to LF. Age was significantly correlated to variance and to the absolute values in milliseconds squared of very-low-frequency (VLF), LF, and HF components. The tilt angle was correlated to both LF and HF (expressed in normalized units [nu]) and to the LF-to-HF ratio (r=.78, -.72, and .68; respectively). Lower levels of correlation were found with HF (in ms(2)) and RR interval. No correlation was present between tilt angle and variance, VLF, or LF (in ms(2)). Individual analysis confirmed that the use of nu provided the greatest consistency of results.Conclusions Spectral analysis of HRV, using nu or LF- to-HF ratio, appears to be capable of providing a noninvasive quantitative evaluation of graded changes in the state of the sympathovagal balance.