Modelling heart rate kinetics

Area of Science:

• Exercise Physiology
• Cardiovascular Health
• Mathematical Modeling

Background:

• Understanding heart rate kinetics during exercise is crucial for assessing cardiovascular health and optimizing training.
• Existing models often lack simplicity and a unified parameter for individual cardiovascular condition.

Purpose of the Study:

• To develop a simplified mathematical model for heart rate kinetics during exercise.
• To create a tool that assesses an individual's cardiovascular condition and detects changes.
• To incorporate blood lactate dynamics and exercise intensity into the heart rate model.

Main Methods:

• Utilized a system of two coupled differential equations based on an existing model.
• Introduced a single parameter representing overall cardiovascular condition.
• Incorporated time, exercise intensity, and blood lactate levels.
• Performed numerical optimization and simulations using experimental heart rate data.

Main Results:

• The proposed model effectively fits experimental heart rate data.
• Numerical simulations demonstrated predictive capabilities for various exercise intensities and cardiovascular states.
• The model successfully integrates multiple physiological parameters into a cohesive framework.

Conclusions:

• The developed model offers a powerful tool for comprehensive heart rate analysis.
• It aids in designing training sessions for healthy individuals.
• Applicable in cardiovascular health and rehabilitation, including for vulnerable populations like the elderly and pregnant women.