[Optimization and validation of a mathematical model for precise assessment of personalized exercise load based on
Wenxing Wang1, Yuanhui Zhao1, Wenlang Yu1
1Physical Fitness and Health Research and Teaching Department, College of Sports Human Sciences, Beijing Sport University, Beijing 100084, P. R. China.
Summary
This study optimized the Fitness-Fatigue Model using wearable device data, enhancing exercise load assessment for better training and chronic disease management.
Area of Science:
- Exercise physiology
- Biomechanical modeling
- Sports science
Context:
- Precise exercise load assessment is crucial for effective non-pharmacological interventions.
- Wearable devices offer valuable data for physiological monitoring.
- Existing models may not fully capture training response complexities.
Purpose:
- To optimize the original Fitness-Fatigue Model using nonlinear methods.
- To develop a more accurate mathematical model for training responses.
- To compare the predictive performance of the optimized versus original model.
Summary:
- A time-varying attenuation function and specific coefficients were used to create an optimized nonlinear mathematical model.
- Thirteen participants' cycling data (external and internal load) were collected over 12 weeks.
- The optimized model showed significantly better goodness of fit and predictive accuracy.
Impact:
- Improved dynamic adjustments for personalized training programs.
- Enhanced efficiency in disease prevention and control strategies.
- Potential to advance the application of exercise interventions in health management.
Keywords:
Accurate assessment of exercise loadChronic disease prevention and controlMathematical modelNon-pharmacological interventionTraining monitoring
