Cottin F, Médigue C, Lopes P, Leprêtre P-M, Heubert R, Billat V
Laboratory of Exercise Physiology (LEPH, E. A. 3872, Genopole), Department of Sport and Exercise Science, University of Evry, Evry, France.
Int J Sports Med. 2007 Apr;28(4):287-94. doi: 10.1055/s-2006-924355. Epub 2006 Oct 6.
The present study examined whether the ventilatory thresholds during an incremental exhaustive running test could be determined using heart rate variability (HRV) analysis. Beat-to-beat RR interval, V(.-)O (2), V(.-)CO (2) and V(.-) (E) of twelve professional soccer players were collected during an incremental test performed on a track until exhaustion. The "smoothed pseudo Wigner-Ville distribution" (SPWVD) time-frequency analysis method was applied to the RR time series to compute the usual HRV components vs. running speed stages. The ventilatory equivalent method was used to assess the ventilatory thresholds (VT1 and VT2) from respiratory components. In addition, ventilatory thresholds were assessed from the instantaneous components of respiratory sinus arrhythmia (RSA) by two different methods: 1) from the high frequency peak of HRV ( FHF), and 2) from the product of the spectral power contained within the high frequency band (0.15 Hz to fmax) by FHF (HF x FHF) giving two thresholds: HFT1 and HFT2. Since the relationship between FHF and running speed was linear for all subjects, the VTs could not be determined from FHF. No significant differences were found between respective running speeds at VT1 vs. HFT1 (9.83 +/- 1.12 vs. 10.08 +/- 1.29 km x h (-1), n.s.) nor between the respective running speeds at VT2 vs. HFT2 (12.55 +/- 1.31 vs. 12.58 +/- 1.33 km x h (-1), n.s.). Linear regression analysis showed a strong correlation between VT1 vs. HFT1 (R (2) = 0.94, p < 0.001) and VT2 vs. HFT2 (R (2) = 0.96, p < 0.001). The Bland-Altman plot analysis reveals that the assessment from RSA gives an accurate estimation of the VTs, with HF x FHF providing a reliable index for the ventilatory thresholds detection. This study has shown that VTs could be assessed during an incremental running test performed on a track using a simple beat-to-beat heart rate monitor, which is less expensive and complex than the classical respiratory measurement devices.
本研究探讨了在递增力竭跑步测试中，是否可以使用心率变异性（HRV）分析来确定通气阈值。在田径场上进行递增测试直至力竭的过程中，收集了12名职业足球运动员逐搏的RR间期、摄氧量（V̇O₂）、二氧化碳排出量（V̇CO₂）和分钟通气量（V̇E）。将“平滑伪维格纳-威利分布”（SPWVD）时频分析方法应用于RR时间序列，以计算与跑步速度阶段相关的常见HRV成分。采用通气当量法从呼吸成分评估通气阈值（VT1和VT2）。此外，通过两种不同方法从呼吸性窦性心律不齐（RSA）的瞬时成分评估通气阈值：1）从HRV的高频峰值（FHF）；2）从高频带（0.15 Hz至fmax）内包含的频谱功率与FHF的乘积（HF×FHF），得出两个阈值：HFT1和HFT2。由于所有受试者的FHF与跑步速度之间呈线性关系，因此无法从FHF确定VT。在VT1与HFT1时的各自跑步速度之间（9.83±1.12对10.08±1.29 km·h⁻¹，无显著差异）以及VT2与HFT2时的各自跑步速度之间（12.55±1.31对12.58±1.33 km·h⁻¹，无显著差异）均未发现显著差异。线性回归分析显示VT1与HFT1之间（R² = 0.94，p < 0.001）以及VT2与HFT2之间（R² = 0.96，p < 0.001）存在强相关性。布兰德-奥特曼图分析表明，通过RSA进行的评估能够准确估计通气阈值，HF×FHF为通气阈值检测提供了可靠指标。本研究表明，在田径场上进行递增跑步测试期间，可以使用简单的逐搏心率监测器评估通气阈值，该监测器比传统的呼吸测量设备更便宜且更简单。
