Key result
A mathematical model of the cardiovascular system predicted heart rate, systolic, and diastolic blood pressure at varying exercise levels with average errors of 0.91%, 0.99%, and 0.49%, respectively.
Cross-Sectional (n=400)
A mathematical model based on electrical and fluid dynamics analogies accurately predicts heart rate and blood pressure responses to varying levels of exercise in healthy individuals.
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May inform exercise physiology models in healthy subjects; leaves open validation before any clinical application.
The cardiovascular system is modelled as a fluid flow system consisting of networks of pumps and piping systems. A mathematical model relating different cardiovascular parameters was developed. The change in cardiovascular parameters with individuals’ physical activity level, habits and environmental factors was established. The models used to predict how an individual can control the cardiovascular parameters to be healthy and diagnosing problems in the system.
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Kundu et al. (2020) conducted a cross-sectional in Healthy (n=400). Exercise level vs. Rest was evaluated on Percentage deviation of predicted model values from primary data for heart rate and blood pressure (p=<0.01). A mathematical model of the cardiovascular system predicted heart rate, systolic, and diastolic blood pressure at varying exercise levels with average errors of 0.91%, 0.99%, and 0.49%, respectively.
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