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Related Experiment Video

Updated: Nov 3, 2025

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations

Published on: January 8, 2013

Patient-specific parameter estimation: Coupling a heart model and experimental data.

Andrei A Domogo¹, Johnny T Ottesen²

¹University of the Philippines Baguio, Baguio City, Philippines; Roskilde University, Roskilde, Denmark.

Journal of Theoretical Biology

|June 4, 2021

Summary

This summary is machine-generated.

This study presents a new hemodynamic model of the heart, validated with patient data. The model accurately captures cardiovascular responses to stress and age-related differences.

Keywords:

Cardiovascular dynamics modeling Chronotropic stress Inotropic stress Parameter estimation Patient-specific

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Area of Science:

Cardiovascular Physiology
Computational Biology
Biomedical Engineering

Background:

Hemodynamic modeling is crucial for understanding cardiovascular function.
Existing models often simplify complex cardiac dynamics.
Accurate modeling requires incorporating factors like atrial function and valve mechanics.

Purpose of the Study:

To develop and calibrate a novel hemodynamic model of the heart.
To incorporate an unsteady Bernoulli effect and use conductance for heart valves.
To validate the model using experimental data from diverse age and sex groups under various physiological conditions.

Main Methods:

Developed a Windkessel-based hemodynamic model using ordinary differential equations.
Incorporated an unsteady Bernoulli effect and conductance for non-leaking valves.
Calibrated the model using blood volume data from young and elderly subjects at rest and under pharmacological stress (dobutamine, glycopyrrolate).
Employed optimization routines, parametric bootstrapping, and statistical tests for validation and analysis.

Main Results:

The model was successfully calibrated to experimental blood volume data.
Optimal model parameters demonstrated realistic pressure curve behavior.
Significant age and sex-related differences in cardiac function were identified.
The effects of dobutamine and glycopyrrolate on the cardiovascular system were quantified.

Conclusions:

The developed hemodynamic model provides a robust tool for studying cardiovascular dynamics.
The model accurately reflects physiological responses and allows for the investigation of age and sex-specific differences.
This approach quantifies the impact of pharmacological interventions on cardiac function.