Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Electrophysiology of Normal Cardiac Rhythm01:19

Electrophysiology of Normal Cardiac Rhythm

7.8K
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...
7.8K
Conduction System of the Heart01:20

Conduction System of the Heart

6.0K
The cardiac conduction system produces and transmits electrical impulses that prompt myocardial contraction, ensuring efficient heart function. This intricate system ensures that the heart beats in a coordinated and efficient manner, beginning with the atria and then the ventricles. The conduction system optimizes cardiac output by maintaining this precise sequence, which is crucial for adequate blood circulation.
This system relies on the unique properties of nodal and Purkinje cells:...
6.0K
Poisson's And Laplace's Equation01:25

Poisson's And Laplace's Equation

4.3K
The electric potential of the system can be calculated by relating it to the electric charge densities that give rise to the electric potential. The differential form of Gauss's law expresses the electric field's divergence in terms of the electric charge density.
4.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Improving arrhythmic risk prediction using cardiac magnetic resonance within deep learning in ischemic heart disease.

NPJ cardiovascular health·2026
Same author

Assessment of the Relevant Field of View of Unipolar Electrodes Using In Vivo Imaging.

JACC. Clinical electrophysiology·2026
Same author

Clinical validation of an in silico pace mapping approach to localize both focal and re-entrant ventricular arrhythmias in patients with structural heart disease.

Heart rhythm·2026
Same author

A retrospective real-world analysis of placental-based allografts on pressure ulcers.

SAGE open medicine·2026
Same author

Correlative imaging integrates electrophysiology with three-dimensional murine heart reconstruction to reveal electrical coupling between cell types.

Nature cardiovascular research·2025
Same author

Fibrosis Entropy Is Associated With Life-Threatening Arrhythmia in Nonischemic Cardiomyopathy.

Journal of the American Heart Association·2025

Related Experiment Video

Updated: Apr 27, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

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

Published on: February 13, 2021

6.1K

Efficient simulation of cardiac electrical propagation using high order finite elements.

Christopher J Arthurs1, Martin J Bishop2, David Kay1

  • 1Department of Computer Science, University of Oxford, Oxford, United Kingdom.

Journal of Computational Physics
|July 1, 2014
PubMed
Summary
This summary is machine-generated.

High-order hierarchical finite elements offer superior accuracy for cardiac monodomain problem simulations. This efficient approach provides better approximations at a lower computational cost, proving vital for large-scale cardiac research.

Keywords:
Computational cardiologyFinite element methodMonodomain simulationNumerical efficiencyp-Version

More Related Videos

Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology
08:54

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

Published on: April 18, 2018

9.1K
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

2.1K

Related Experiment Videos

Last Updated: Apr 27, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

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

Published on: February 13, 2021

6.1K
Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology
08:54

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

Published on: April 18, 2018

9.1K
In Silico Clinical Trials for Cardiovascular Disease
09:09

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

2.1K

Area of Science:

  • Computational Biology
  • Biophysics
  • Numerical Analysis

Background:

  • The cardiac monodomain equation is crucial for simulating electrical propagation in the heart.
  • Accurate and efficient numerical methods are needed for large-scale cardiac electrophysiology models.

Purpose of the Study:

  • To apply high-order hierarchical finite elements for efficient approximation of the cardiac monodomain problem.
  • To address challenges in achieving theoretically optimal errors in numerical solutions.
  • To enhance the accuracy and computational efficiency of cardiac simulations.

Main Methods:

  • Implementation of high-order hierarchical finite elements.
  • Careful selection of numerical methods for the cardiac cell model component.
  • Theoretical analysis to underpin the approximation strategy.

Main Results:

  • Demonstrated superior accuracy compared to linear finite elements.
  • Achieved higher accuracy within a given computational time.
  • Identified a more cost-effective computational approach.

Conclusions:

  • High-order hierarchical finite elements provide a more accurate and computationally efficient solution for the cardiac monodomain problem.
  • This method offers significant advantages over traditional linear finite elements.
  • The approach is potentially indispensable for future large-scale cardiac simulations.