Yamamoto Y, Hughson R L, Nakamura Y
Department of Kinesiology, University of Waterloo, Ontario, Canada.
Chest. 1992 May;101(5 Suppl):206S-210S. doi: 10.1378/chest.101.5_supplement.206s.
We introduce our recent approach to study autonomic nervous system control of heart rate during exercise by means of heart rate variability (HRV) spectral analysis with special reference to its relationship to ventilatory threshold (Tvent). The rationale for the study was that HRV has been shown to reflect (cardiac) parasympathetic and sympathetic nervous system (PNS and SNS, respectively) activity, together with the underlying complexity of cerebral autonomic system in terms of fractal dimension (DF) of HRV time series. The experimental results showed that PNS was markedly reduced below Tvent, that the rate of change in sympathoadrenal activity indicators (plasma norepinephrine and epinephrine concentrations and SNS indicator) was enhanced above Tvent, and that these changes in PNS and SNS indicators were associated with the appearance of the low-dimensional (low DF) dynamics that might reflect less complex autonomic activity. These findings have been considered with respect to implication for clinical cardiology.
我们介绍了我们最近通过心率变异性（HRV）频谱分析来研究运动期间自主神经系统对心率控制的方法，并特别提及了其与通气阈值（Tvent）的关系。该研究的基本原理是，HRV已被证明可反映（心脏）副交感神经系统和交感神经系统（分别为PNS和SNS）的活动，以及就HRV时间序列的分形维数（DF）而言大脑自主神经系统的潜在复杂性。实验结果表明，在Tvent以下副交感神经系统明显降低，在Tvent以上交感肾上腺活动指标（血浆去甲肾上腺素和肾上腺素浓度以及交感神经系统指标）的变化率增加，并且副交感神经系统和交感神经系统指标的这些变化与可能反映较不复杂自主活动的低维（低DF）动力学的出现相关。已从对临床心脏病学的影响方面考虑了这些发现。
