Key result
Heart rate variability time-frequency analysis accurately determined ventilatory thresholds in well-trained cyclists, correlating strongly with VT1 (r2=0.94) and VT2 (r2=0.97, p<0.001).
Why the study?
Can ventilatory thresholds be accurately determined from heart rate variability analysis during cycling in well-trained subjects?
Population
11 well-trained subjects
Comparison
Heart rate variability analysis using Short-Term… vs Standard ventilatory thresholds determined from…
Design
Cross-sectional
Authors
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May support non-invasive VT assessment in trained cyclists; extends prior HRV methods but remains hypothesis-generating pending prospective validation.
Observational (n=11)
Can ventilatory thresholds be accurately determined from heart rate variability analysis during cycling in well-trained subjects?
Effect estimate: r2 = 0.97
p-value: p=<0.001
Ventilatory thresholds can be accurately determined from RR time series using HRV time-frequency analysis in healthy well-trained subjects, with HF.fHF providing a reliable index.
Cottin et al. (2006) conducted an observational in Healthy well-trained subjects (n=11). Heart rate variability (HRV) time-frequency analysis vs. Ventilatory equivalents (VO2, VCO2, VE) was evaluated on Ventilatory thresholds (VT1 and VT2) (r2 = 0.97, p=<0.001). Heart rate variability time-frequency analysis accurately determined ventilatory thresholds in well-trained cyclists, correlating strongly with VT1 (r2=0.94) and VT2 (r2=0.97, p<0.001).
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