Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model.

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Conduction in the Heart Wall: Helicoidal Fibers Minimize Diffusion Bias.Scalable and Accurate ECG Simulation for Reaction-Diffusion Models of the Human Heart.Towards a Computational Framework for Modeling the Impact of Aortic Coarctations Upon Left Ventricular Load.

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P2860

Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model.

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2017 nî lūn-bûn

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Efficient computation of elect ...... sing a reaction-eikonal model.

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Efficient computation of elect ...... sing a reaction-eikonal model.

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Efficient computation of elect ...... sing a reaction-eikonal model.

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P1476

Efficient computation of elect ...... using a reaction-eikonal model

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P2093

Aurel Neic

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Edward J Vigmond

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Fernando O Campos

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P2860

Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models

Algebraic multigrid preconditioner for the cardiac bidomain model.

Cellular basis for the electrocardiographic J wave.

Electrical conductivity values used with the bidomain model of cardiac tissue.

Patient-specific modelling of cardiac electrophysiology in heart-failure patients.

Electrical heterogeneity within the ventricular wall.

Simulating human cardiac electrophysiology on clinical time-scales

A macro finite-element formulation for cardiac electrophysiology simulations using hybrid unstructured grids.

Verification of cardiac tissue electrophysiology simulators using an N-version benchmark.

Ionic current basis of electrocardiographic waveforms: a model study.

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191-211

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scholarly article

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10.1016/J.JCP.2017.06.020

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346

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28819329

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5555399

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Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model.

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P2860

P2860

Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model.

description

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P1476

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P356

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P2860

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