Development and field validation of an omni-domain power-duration model

Area of Science:

• Exercise Physiology
• Sports Science
• Biomechanical Modeling

Background:

• The critical power (CP) concept is fundamental in exercise physiology for predicting endurance performance.
• Existing models often struggle to accurately describe maximal mean power (MMP) data across the entire spectrum of exercise durations, from sprints to prolonged efforts.

Purpose of the Study:

• To validate and compare a novel omni-domain power-duration (OmPD) model against existing models for describing cyclist MMP data.
• To assess the model's ability to capture performance across diverse exercise intensities and durations.

Main Methods:

• Derived an omni-domain power-duration (OmPD) model incorporating maximum sprint power and a log-linear decline from CP.
• Extended three-parameter CP (3CP) and exponential (Exp) models using a log-linear decay function (Om3CP, OmExp).
• Fit models to MMP data from nine cyclists and validated predictions using four time-trials (TTs).

Main Results:

• The OmPD and Om3CP models demonstrated superior goodness-of-fit with smaller residuals (4 ± 1%) compared to OmExp (6 ± 2%).
• Effective W' (W'eff) predicted by the OmPD model remained stable across durations (120-1,800 s), unlike Om3CP and OmExp.
• No significant differences in time-trial prediction errors were observed between the models.

Conclusions:

• The OmPD model provides a robust framework for describing the entire range of MMP data in cyclists.
• It offers improved theoretical properties and goodness-of-fit, effectively extending the CP concept to cover both sprint and endurance performance.
• The OmPD model represents a significant advancement in modeling physiological responses to exercise of varying intensities and durations.