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Related Experiment Videos

Anaerobic threshold: reproducibility out from ventilatory parameter estimation.

P Gizdulich1, P Panuccio, L Viroli

  • 1Sezione di Fisiopatologia Respiratoria, Dipartimento di Fisiopatologia Clinica, Firenze, Italia.

Respiration; International Review of Thoracic Diseases
|January 1, 1989
PubMed
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Determining exercise anaerobic threshold (AT) using mathematical models is reliable, especially when ventilatory data are smoothed. Both least-squares and maximum probability methods yield similar results after data filtering, improving AT assessment accuracy.

Area of Science:

  • Exercise Physiology
  • Sports Science
  • Biomedical Engineering

Background:

  • Anaerobic threshold (AT) is crucial for assessing exercise intensity and performance.
  • Current methods noninvasively determine AT using two-segment mathematical models of ventilatory parameters.
  • The selection of the most appropriate segment pair and the reliability of the joining point as AT are key considerations.

Purpose of the Study:

  • To compare the reliability of the least-squares method versus the maximum probability method for determining AT.
  • To assess the reproducibility of these methods after data filtering and smoothing.
  • To evaluate the influence of different ventilatory parameter pairings (Ve vs. VO2, Ve vs. VCO2, VCO2 vs. VO2) on AT determination.

Main Methods:

  • Collected ventilatory parameters (Ve, VO2, VCO2) from 10 healthy subjects on a bicycle ergometer with incremental power steps.

Related Experiment Videos

  • Modeled ventilatory functions (Ve vs. VO2, Ve vs. VCO2, VCO2 vs. VO2) using two linear segments fitted by second-kind linear fitting.
  • Compared AT determination using least-squares and maximum probability methods, with and without data smoothing.
  • Employed paired t-tests to analyze differences between methods and the effect of smoothing.

    • Main Results:

    • The reliability of AT determination is dependent on the chosen ventilatory parameter pair.
    • No significant difference was found between the least-squares and maximum probability methods when data were smoothed (Ve vs. VO2, p=0.99; Ve vs. VCO2, p=0.54).
    • Smoothing data did not significantly alter results for either the least-squares or maximum probability methods across parameter pairings.

    Conclusions:

    • The noninvasive determination of anaerobic threshold is reliable, particularly when employing smoothed ventilatory data.
    • Data smoothing enhances the consistency between the least-squares and maximum probability methods for AT assessment.
    • The choice of ventilatory parameters influences AT reliability, highlighting the importance of careful selection in exercise physiology research.