Gronwald Thomas, Hoos Olaf, Ludyga Sebastian, Hottenrott Kuno
a MSH Medical School Hamburg , University of Applied Sciences and Medical University , Hamburg , Germany.
b Sports Centre , Julius Maximilians University of Wuerzburg , Wuerzburg , Germany.
Res Sports Med. 2019 Jan-Mar;27(1):88-98. doi: 10.1080/15438627.2018.1502182. Epub 2018 Jul 24.
Within the last years complex models of cardiovascular regulation and exercise fatigue have implemented heart rate variability (HRV) as a measure of autonomic nervous system. Using detrended fluctuation analysis (DFA) to assess heart rate correlation properties, the present study examines the influence of exercise intensity on total variability and complexity in non-linear dynamics of HRV. Sixteen cyclists performed a graded exercise test on a bicycle ergometer. HRV time domain measures and fractal correlation properties were analyzed using short-term scaling exponent alpha1 of DFA. Amplitude and complexity of HRV parameters decreased significantly. DFA-alpha1 increased from rest to low exercise intensity and showed an almost linear decrease from higher intensities until exhaustion. These findings support a qualitative change in self-organized heart rate regulation from a complex autonomic control at rest and low intensities towards a breakdown of the interaction in control mechanisms with non-autonomic heart rate control dominating at high intensities.
在过去几年中，心血管调节和运动疲劳的复杂模型已将心率变异性（HRV）作为自主神经系统的一项指标。本研究采用去趋势波动分析（DFA）来评估心率相关性，探讨运动强度对HRV非线性动力学中总变异性和复杂性的影响。16名自行车运动员在自行车测力计上进行了递增运动测试。使用DFA的短期标度指数alpha1分析HRV时域指标和分形相关性。HRV参数的幅度和复杂性显著降低。DFA-alpha1从静息状态到低运动强度时增加，从较高强度直至力竭呈现几乎线性的下降。这些发现支持了自组织心率调节的质的变化，即从静息和低强度时复杂的自主控制，转变为高强度时控制机制相互作用的破坏，非自主心率控制占主导地位。
