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Electrophysiology of Normal Cardiac Rhythm

Electrophysiology of Normal Cardiac Rhythm

The normal cardiac rhythm is a synchronized electrical activity that facilitates the regular and coordinated contraction of the heart muscle. This process is essential for efficient blood circulation throughout the body. The fundamental elements involved in establishing and maintaining this rhythm include the unique electrical properties of cardiac muscle cells, the sinoatrial (SA) node's pacemaker function, the specialized conducting system, and the ionic mechanisms underlying each phase...

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Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology

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Simulating Cardiac Electrophysiology Using Unstructured All-Hexahedra Spectral Elements.

Gianmauro Cuccuru¹, Giorgio Fotia¹, Fabio Maggio¹

¹CRS4, Loc. Pixina Manna, Edificio 1, 09010 Pula, Italy.

Biomed Research International

|November 20, 2015

Summary

The spectral element method efficiently models cardiac action potential propagation using fewer computational resources. This high-order approach accurately resolves complex cardiac electrophysiology across multiple scales.

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Area of Science:

Computational Biology
Biophysics
Numerical Analysis

Background:

Cardiac electrophysiology is modeled by complex partial and ordinary differential equations.
Accurate simulation requires resolving multiple spatial and temporal scales.
Existing methods face challenges with complex geometries and multi-scale phenomena.

Purpose of the Study:

To apply the spectral element method (SEM) to cardiac electrophysiology models.
To demonstrate SEM's efficiency and accuracy for monodomain and bidomain equations.
To implement SEM on complex, anatomically based computational models.

Main Methods:

Utilized a high-order spectral element method.
Developed a fully unstructured all-hexahedra implementation.
Applied the method to 3D monodomain and bidomain equations.

Main Results:

SEM demonstrated flexibility in resolving multiple length scales.
The method showed high efficiency on complex geometries compared to finite elements.
Successful application to full 3D test cases and a whole-heart human model.

Conclusions:

The spectral element method is a powerful tool for cardiac electrophysiology simulations.
SEM offers significant advantages in accuracy and computational efficiency.
This approach facilitates more realistic modeling of cardiac electrical activity.