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Ventilatory thresholds assessment from heart rate variability during an incremental exhaustive running test
1Laboratory of Exercise Physiology (LEPH, E. A. 3872, Genopole), Department of Sport and Exercise Science, University of Evry, Evry, France. fcottin@univ-evry.fr
Heart rate variability (HRV) analysis can accurately estimate ventilatory thresholds (VT1 and VT2) during incremental running tests. This method using respiratory sinus arrhythmia (RSA) is a cost-effective alternative to traditional respiratory equipment.
Area of Science:
- Exercise Physiology
- Cardiorespiratory Function
- Biomedical Engineering
Background:
- Ventilatory thresholds (VT) are crucial indicators of exercise intensity.
- Traditional methods for VT determination require complex and expensive respiratory equipment.
- Heart rate variability (HRV) offers a potential non-invasive alternative for assessing physiological responses during exercise.
Purpose of the Study:
- To investigate the efficacy of HRV analysis in determining ventilatory thresholds (VT1 and VT2) during incremental exhaustive running tests.
- To compare VT assessments derived from HRV with those obtained through standard respiratory measurements.
- To evaluate the feasibility of using simple beat-to-beat heart rate monitors for VT detection.
Main Methods:
- Twelve professional soccer players underwent an incremental running test until exhaustion.
- Beat-to-beat RR intervals, V̇O₂, V̇CO₂, and V̇E were recorded.
- Time-frequency analysis (SPWVD) was applied to RR series for HRV components.
- Ventilatory thresholds (VT1, VT2) were determined using the ventilatory equivalent method.
- HRV-derived thresholds (HFT1, HFT2) were calculated from high-frequency power (HF) and peak frequency (FHF) of respiratory sinus arrhythmia (RSA).
Main Results:
- No significant differences were found between VT1 and HFT1 (9.83 vs. 10.08 km/h) or VT2 and HFT2 (12.55 vs. 12.58 km/h).
- Strong correlations were observed between VT1 and HFT1 (R² = 0.94) and VT2 and HFT2 (R² = 0.96).
- Bland-Altman analysis confirmed that RSA-derived assessments accurately estimate VTs, with HF × FHF being a reliable index.
Conclusions:
- Ventilatory thresholds can be reliably assessed using HRV analysis during incremental running tests.
- The HF × FHF index derived from RSA provides a valid and accurate estimation of ventilatory thresholds.
- This HRV-based approach offers a less expensive and simpler alternative to conventional respiratory gas analysis for VT detection.
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