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Updated: Jun 2, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Electromechanical models of the ventricles.

Natalia A Trayanova¹, Jason Constantino, Viatcheslav Gurev

¹Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA. ntrayanova@jhu.edu

American Journal of Physiology. Heart and Circulatory Physiology

|May 17, 2011

Summary

Advanced computational models simulate heart function, revealing insights into cardiac dysfunction and arrhythmias. These ventricular electromechanical models offer a powerful tool for understanding heart mechanics and electrical activity.

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Area of Science:

Cardiovascular Science
Computational Biology
Biophysics

Background:

Computational modeling is crucial for understanding cardiac dysfunction.
Ventricular electromechanical models integrate electrophysiology and mechanics.
These models capture complex heart behaviors and interactions.

Purpose of the Study:

To review advancements in multiscale electromechanical modeling of the ventricles.
To outline the framework, computational techniques, and validation methods.
To highlight insights into cardiac function and disease mechanisms.

Main Methods:

Detailed framework of multiscale ventricular electromechanical modeling.
State-of-the-art computational techniques.
Experimental validation approaches.

Main Results:

Insights into mechanoelectric coupling and ventricular arrhythmogenesis.
Understanding the relationship between electrical activation and mechanical contraction.
Mechanisms of mechanical dyssynchrony and resynchronization in heart failure.

Conclusions:

Ventricular electromechanical models enhance understanding of cardiac function.
These models provide insights into arrhythmias and heart failure.
Computational modeling promises to be a valuable clinical tool for cardiac disease.