Solving the Coupled System Improves
Computational Efficiency of the Bidomain
Equations

Solving the Coupled System Improves Computational Efficiency of the Bidomain Equations

Čájet eará veršuvnnaid (2)

The bidomain equations are frequently used to model the propagation of cardiac action potentials across cardiac tissue. At the whole organ level the size of the computational mesh required makes their solution a significant computational challenge. As the accuracy of the numerical solution cannot be...

Bibliográfalaš dieđut
Váldodahkkit:	Southern, J, Plank, G, Vigmond, E, Whiteley, J
Materiálatiipa:	Journal article
Almmustuhtton:	2009

Geahča maid

Solving the coupled system improves computational efficiency of the bidomain equations.
Dahkki: Southern, J, et al.
Almmustuhtton: (2009)

Solving the Coupled System Improves Computational Efficiency of the Bidomain Equations
Dahkki: Southern, J, et al.
Almmustuhtton: (2009)

Solving the coupled system improves computational efficiency of the bidomain equations
Dahkki: Vigmond, J
Almmustuhtton: (2009)

Computational and Numerical Methods for the Accurate and Efficient Solution of the Bidomain Equations
Dahkki: Whiteley, J
Almmustuhtton: (2010)

Computational and Numerical Methods for the Efficient and Accurate Solution of the Bidomain Equations
Dahkki: Whiteley, J
Almmustuhtton: (2010)

An efficient technique for the numerical solution of the bidomain equations.
Dahkki: Whiteley, J
Almmustuhtton: (2008)

An Efficient Technique for the Numerical Solution of the Bidomain equations
Dahkki: Whiteley, J
Almmustuhtton: (2008)

An efficient numerical technique for the solution of the monodomain and bidomain equations.
Dahkki: Whiteley, J
Almmustuhtton: (2006)

An efficient numerical technique for the solution of the monodomain and bidomain equations
Dahkki: Whiteley, J
Almmustuhtton: (2006)

Preconditioning techniques for the bidomain equations
Dahkki: dos Santos R.G.Plank S. Bauer, E
Almmustuhtton: (2004)

Physiology driven adaptivity for the numerical solution of the bidomain equations
Dahkki: Whiteley, J
Almmustuhtton: (2007)

Physiology driven adaptivity for the numerical solution of the bidomain equations.
Dahkki: Whiteley, J
Almmustuhtton: (2007)

Algebraic multigrid preconditioner for the cardiac bidomain model
Dahkki: dos Santos E.J. Vigmond, G
Almmustuhtton: (2007)

An evaluation of some assumptions underpinning the bidomain equations of electrophysiology
Dahkki: Whiteley, JP
Almmustuhtton: (2019)

Stimulus protocol determines the most computationally−efficient preconditioner for the bidomain equations
Dahkki: Bernabeu, M, et al.
Almmustuhtton: (2010)

Stimulus protocol determines the most computationally efficient preconditioner for the bidomain equations.
Dahkki: Bernabeu, M, et al.
Almmustuhtton: (2010)

Stimulus protocol determines the most computationally−efficient preconditioner for the bidomain equations
Dahkki: Pitt−Francis, D
Almmustuhtton: (2010)

Solvers for the Cardiac Bidomain Equations.
Dahkki: dos Santos S.Bauer A.J.Prassl M. Deo, G
Almmustuhtton: (2008)

numerical guide to the solution of the bidomain equations of cardiac electrophysiology
Dahkki: Pathmanathan, P, et al.
Almmustuhtton: (2015)

A numerical guide to the solution of the bidomain equations of cardiac electrophysiology
Dahkki: Pathmanathan, P, et al.
Almmustuhtton: (2010)

A numerical guide to the solution of the bidomain equations of cardiac electrophysiology
Dahkki: Pathmanathan, P, et al.
Almmustuhtton: (2010)

Parallel multigrid preconditioner for the cardiac bidomain model
Dahkki: dos Santos R.G.Plank S. Bauer, E
Almmustuhtton: (2004)

Unstructured spectral elements applied to the bidomain model
Dahkki: Jeannequin, N, et al.
Almmustuhtton: (2007)

Bidomain ECG Simulations Using an Augmented Monodomain Model for the Cardiac Source
Dahkki: Bishop, M, et al.
Almmustuhtton: (2011)

Automatically generated‚ anatomically accurate Meshes for the Cardiac Bidomain Equations.
Dahkki: Trayanova, G
Almmustuhtton: (2009)

Bidomain Model of Defibrillation
Dahkki: N.A., G
Almmustuhtton: (2009)

What have we learned from mathematical models of defibrillation and postshock arrhythmogenesis? Application of bidomain simulations
Dahkki: Plank, B
Almmustuhtton: (2006)

Representing Cardiac Bidomain Bath−Loading Effects by an Augmented Monodomain Approach: Application to Complex Ventricular Models
Dahkki: Bishop MJ and G Plank
Almmustuhtton: (2010)

DERIVATION OF THE BIDOMAIN EQUATIONS FOR A BEATING HEART WITH A GENERAL MICROSTRUCTURE
Dahkki: Richardson, G, et al.
Almmustuhtton: (2011)

What have we learned from mathematical models of defibrillation and postshock arrhythmogenesis? Application of bidomain simulations
Dahkki: Trayanova, N, et al.
Almmustuhtton: (2006)

What have we learned from mathematical models of defibrillation and postshock arrhythmogenesis? Application of bidomain simulations.
Dahkki: Trayanova, N, et al.
Almmustuhtton: (2006)

Derivation of the bidomain equations for a beating heart with a general microstructure
Dahkki: Chapman, S
Almmustuhtton: (2013)

A bidomain model of the cardiac specialized conduction system of the heart.
Dahkki: Bordas, R, et al.
Almmustuhtton: (2012)

A Bidomain Model of the Ventricular Specialized Conduction System of the Heart.
Dahkki: Bordas, R, et al.
Almmustuhtton: (2012)

A Bidomain Model of the Ventricular Specialized Conduction System of the Heart
Dahkki: Bordas, R, et al.
Almmustuhtton: (2012)

Unstructured spectral elements applied to the bidomain model
Almmustuhtton: (2007)

Efficient particle methods for solving the Boltzmann equation
Dahkki: Homolle, Thomas (Thomas Michel Marie)
Almmustuhtton: (2007)

Feedback Control of Resonant Drift in a Bidomain Model.
Dahkki: Biktasheva, V
Almmustuhtton: (2009)

Coupled block method for solving ordinary and delay differential equations
Dahkki: Hue, Chi San
Almmustuhtton: (2011)

Solving delay differential equations using coupled block method
Dahkki: Hue, Chi San, et al.
Almmustuhtton: (2011)