A model-based block-triangular preconditioner for the Bidomain system in electrocardiology
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Luca Gerardo-Giorda | Fabio Nobile | Alessandro Veneziani | Mauro Perego | L. Mirabella | F. Nobile | A. Veneziani | L. Mirabella | M. Perego | L. Gerardo-Giorda | Lucia Mirabella
[1] Alfio Quarteroni,et al. Complex Systems in Biomedicine , 2006 .
[2] A V Panfilov,et al. A guide to modelling cardiac electrical activity in anatomically detailed ventricles. , 2008, Progress in biophysics and molecular biology.
[3] Yousef Saad,et al. Iterative methods for sparse linear systems , 2003 .
[4] P. Hunter,et al. Laminar structure of the heart: a mathematical model. , 1997, The American journal of physiology.
[5] G. Huiskamp,et al. Simulation of depolarization in a membrane-equations-based model of the anisotropic ventricle , 1998, IEEE Transactions on Biomedical Engineering.
[6] A. McCulloch,et al. A collocation-Galerkin finite element model of cardiac action potential propagation , 1994, IEEE Transactions on Biomedical Engineering.
[7] C. Henriquez. Simulating the electrical behavior of cardiac tissue using the bidomain model. , 1993, Critical reviews in biomedical engineering.
[8] V. Simoncini,et al. Efficient algebraic solution of reaction-diffusion systems for the cardiac excitation process , 2002 .
[9] S. Scacchi. Mathematics and Statistics Multilevel Schwarz preconditioners for the Bidomain system and applications to electrocardiology , 2007 .
[10] P. C. Franzone,et al. A PARALLEL SOLVER FOR REACTION-DIFFUSION SYSTEMS IN COMPUTATIONAL ELECTROCARDIOLOGY , 2004 .
[11] Andrew J. Pullan,et al. Mathematically Modelling the Electrical Activity of the Heart: From Cell to Body Surface and Back Again , 2005 .
[12] Simone Scacchi,et al. A hybrid multilevel Schwarz method for the bidomain model , 2008 .
[13] B. Taccardi,et al. Simulating patterns of excitation, repolarization and action potential duration with cardiac Bidomain and Monodomain models. , 2005, Mathematical biosciences.
[14] Pavel B. Bochev,et al. On the Finite Element Solution of the Pure Neumann Problem , 2005, SIAM Rev..
[15] Marco Veneroni,et al. Reaction–diffusion systems for the microscopic cellular model of the cardiac electric field , 2006 .
[16] Isaac Fried. Bounds on the extremal eigenvalues of the finite element stiffness and mass matrices and their spectral condition number , 1972 .
[17] Luca F. Pavarino,et al. Multilevel Additive Schwarz Preconditioners for the Bidomain Reaction-Diffusion System , 2008, SIAM J. Sci. Comput..
[18] Russell D Folks,et al. Onset of left ventricular mechanical contraction as determined by phase analysis of ECG-gated myocardial perfusion SPECT imaging: Development of a diagnostic tool for assessment of cardiac mechanical dyssynchrony , 2005, Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology.
[19] G Plank,et al. Solvers for the cardiac bidomain equations. , 2008, Progress in biophysics and molecular biology.
[20] B. Taccardi,et al. Spread of excitation in 3-D models of the anisotropic cardiac tissue. III. Effects of ventricular geometry and fiber structure on the potential distribution. , 1997, Mathematical biosciences.
[21] Frank B. Sachse,et al. Computational Cardiology , 2004, Lecture Notes in Computer Science.
[22] Luca Gerardo-Giorda,et al. A Robin?Robin preconditioner for advection?diffusion equations with discontinuous coefficients , 2004 .
[23] Giuseppe Savaré,et al. Degenerate Evolution Systems Modeling the Cardiac Electric Field at Micro- and Macroscopic Level , 2002 .
[24] Luca Gerardo-Giorda,et al. New Nonoverlapping Domain Decomposition Methods for the Harmonic Maxwell System , 2006, SIAM J. Sci. Comput..
[25] Natalia A. Trayanova,et al. Computational techniques for solving the bidomain equations in three dimensions , 2002, IEEE Transactions on Biomedical Engineering.
[26] J. Nenonen,et al. Activation Dynamics in Anisotropic Cardiac Tissue via Decoupling , 2004, Annals of Biomedical Engineering.
[27] Aslak Tveito,et al. Optimal monodomain approximations of the bidomain equations , 2007, Appl. Math. Comput..
[28] C. Luo,et al. A model of the ventricular cardiac action potential. Depolarization, repolarization, and their interaction. , 1991, Circulation research.
[29] R. Winslow,et al. Mechanisms of altered excitation-contraction coupling in canine tachycardia-induced heart failure, II: model studies. , 1999, Circulation research.
[30] Mark Potse,et al. A Comparison of Monodomain and Bidomain Reaction-Diffusion Models for Action Potential Propagation in the Human Heart , 2006, IEEE Transactions on Biomedical Engineering.
[31] R. FitzHugh. Impulses and Physiological States in Theoretical Models of Nerve Membrane. , 1961, Biophysical journal.
[32] J. Keener,et al. Direct activation and defibrillation of cardiac tissue. , 1996, Journal of theoretical biology.
[33] Simona Sanfelici. Convergence of the Galerkin approximation of a degenerate evolution problem in electrocardiology , 2002 .
[34] B. Roth,et al. Action potential propagation in a thick strand of cardiac muscle. , 1991, Circulation research.
[35] Jeroen J. Bax,et al. Left ventricular dyssynchrony assessed by two three-dimensional imaging modalities: phase analysis of gated myocardial perfusion SPECT and tri-plane tissue Doppler imaging , 2007, European Journal of Nuclear Medicine and Molecular Imaging.
[36] Andrew D. McCulloch,et al. Computational Methods for Cardiac Electrophysiology , 2004 .
[37] Gene H. Golub,et al. Numerical solution of saddle point problems , 2005, Acta Numerica.
[38] Giuseppe Savaré,et al. Computational electrocardiology: mathematical and numerical modeling , 2006 .
[39] Yoram Rudy,et al. Computational biology in the study of cardiac ion channels and cell electrophysiology , 2006, Quarterly Reviews of Biophysics.