A nonlinear dynamic model for heart rate response to treadmill walking exercise

Area of Science:

• Physiology
• Biomedical Engineering
• Exercise Science

Background:

• Understanding the dynamic cardiovascular response to exercise is crucial for optimizing physical activity and training.
• Existing models may not fully capture the complex interplay between neural and peripheral factors influencing heart rate during dynamic activities like walking.

Purpose of the Study:

• To develop and validate a dynamic feedback model of heart rate response during treadmill walking exercise.
• To provide a tool for understanding the physiological mechanisms underlying cardiovascular adaptation to exercise.

Main Methods:

• A feedback interconnected system model was conceptualized, with distinct subsystems for neural and peripheral responses.
• Model parameters were estimated using experimental data from 5 healthy adult males performing walking exercise at varying speeds.
• Simulations were conducted to compare model predictions against collected physiological data.

Main Results:

• The dynamic model demonstrated a close match between simulated and experimentally observed heart rate responses.
• The model accurately predicted cardiovascular adjustments during both the exercise exertion and subsequent recovery phases.
• Parameter estimation provided insights into the relative contributions of neural and peripheral subsystems.

Conclusions:

• The developed dynamic model effectively represents the heart rate response to treadmill walking exercise.
• This validated model can enhance the explanation of cardiovascular adjustments during physical activity.
• The model offers potential for designing personalized and effective exercise protocols for individuals.