On the Accuracy of Eikonal Approximations in Cardiac Electrophysiology in the Presence of Fibrosis
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35302-4_14
Reference15 articles.
1. McDowell, K.S., Zahid, S., Vadakkumpadan, F., Blauer, J., MacLeod, R.S., Trayanova, N.A.: Virtual electrophysiological study of atrial fibrillation in fibrotic remodeling. PLoS ONE 10(2), e0117110 (2015)
2. Gharaviri, A., et al.: Epicardial fibrosis explains increased endo-epicardial dissociation and epicardial breakthroughs in human atrial fibrillation. Front. Physiol. 11(68) (2020)
3. Gander, L., Pezzuto, S., Gharaviri, A., Krause, R., Perdikaris, P., Sahli Costabal, F.: Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification. Front. Physiol. 13, 757159 (2022)
4. Neic, A., et al.: Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model. J. Comput. Phys. 346, 191–211 (2017)
5. Nagel, C., et al.: Comparison of propagation models and forward calculation methods on cellular, tissue and organ scale atrial electrophysiology. IEEE Trans. Biomed. Eng. 70(2), 511–522 (2023)
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