Fractal correlation properties of heart rate variability as a marker of exercise intensity during incremental and constant-speed treadmill running

Cody R van Rassel, Oluwatimilehin O Ajayi, Kate M Sales, Christian A Clermont, Markus Rummel, Martin J MacInnis
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Abstract

The short–term scaling exponent of detrended fluctuation analysis (DFAα1) applied to interbeat intervals may provide a method to identify ventilatory thresholds and indicate systemic perturbation during prolonged exercise. The purposes of this study were to i) confirm whether DFAα1 values of 0.75 and 0.5 coincide with the gas exchange threshold (GET) and respiratory compensation point (RCP), ii) quantify DFAα1 during constant-speed running near the maximal lactate steady state (MLSS), and iii) assess the repeatability of DFAα1 between MLSS trials. Seventeen runners performed an incremental running test, and eleven and ten runners also performed constant–speed running 5% below, at, and 5% above the MLSS, and a repeat trial at MLSS, respectively. GET (bias [LOA]: –3.6 [–9.1 to 1.9] mL/kg/min) and RCP (–3.5 [–14.1 to 7.2] mL/kg/min) were overestimated using DFAα1. DFAα1 responses during 30-min running trials near MLSS were variable (i.e., 0.27 to 1.24), and affected by intensity (p=0.019) and duration (p=0.001). No difference in DFAα1 was detected between MLSS trials (p=0.926). These results question whether DFAα1 values can accurately delineate exercise thresholds, but the dependency of DFAα1 on intensity and duration support its potential use to quantify systemic perturbations imposed by continuous exercise.
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心率变异性的分形相关性是增量和恒速跑步过程中运动强度的标记
应用于心跳间期的去趋势波动分析短期缩放指数(DFAα1)可提供一种方法,用于识别通气阈值并指示长时间运动时的系统干扰。本研究的目的是:i)确认 0.75 和 0.5 的 DFAα1 值是否与气体交换阈值(GET)和呼吸补偿点(RCP)相吻合;ii)在接近最大乳酸稳定状态(MLSS)的恒速跑步过程中量化 DFAα1;iii)评估 MLSS 试验之间 DFAα1 的可重复性。17 名跑步者进行了增量跑测试,11 名和 10 名跑步者还分别进行了低于 MLSS 5%、处于 MLSS 5%和高于 MLSS 5%的匀速跑,以及在 MLSS 状态下的重复测试。使用 DFAα1 高估了 GET(偏差 [LOA]:-3.6 [-9.1 至 1.9] mL/kg/min)和 RCP(-3.5 [-14.1 至 7.2] mL/kg/min)。在接近 MLSS 的 30 分钟跑步试验中,DFAα1 反应不稳定(即 0.27 至 1.24),并受强度(p=0.019)和持续时间(p=0.001)的影响。MLSS 试验之间的 DFAα1 没有差异(p=0.926)。这些结果对DFAα1值是否能准确划分运动阈值提出了质疑,但DFAα1对强度和持续时间的依赖性支持了其用于量化持续运动造成的系统扰动的潜力。
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