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Optimizing athletic performance by influence curves
J R Fitz-Clarke1, R H Morton, E W Banister
1School of Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada.
Journal of Applied Physiology (Bethesda, Md. : 1985)
|September 1, 1991
Summary
This study introduces a mathematical model to optimize athletic training and tapering strategies for peak performance. Simulation suggests current tapering methods may be too intense and brief for optimal results.
Area of Science:
- Sports Science
- Exercise Physiology
- Mathematical Modeling
Background:
- Physical training programs can be optimized using predictive modeling.
- Determining optimal training and tapering strategies is crucial for athletic performance.
- Current tapering protocols may not be ideal for maximizing athlete potential.
Purpose of the Study:
- To present a mathematical technique for designing optimal physical preparation strategies.
- To enable the prediction of athletic performance based on training.
- To identify improved training and tapering regimens for competitive athletes.
Main Methods:
- Utilized a mathematical technique derived from model theory.
- Developed a model to solve the inverse problem of training prescription.
- Simulated training and tapering strategies using default model parameters.
Main Results:
- The model allows for the design of personalized training and tapering strategies.
- Simulation results indicate current tapering practices may be suboptimal.
- Accepted tapering durations and intensities might hinder peak performance.
Conclusions:
- A novel mathematical approach can optimize athletic preparation for specific events.
- Current tapering strategies may require revision for enhanced athlete outcomes.
- Further research into optimal tapering protocols is warranted based on modeling insights.