Evaluation of Fifteen Algorithms for the Resolution of the Electrocardiography Imaging Inverse Problem Using ex-vivo and in-silico Data

The electrocardiographic imaging inverse problem is ill-posed. Regularization has to be applied to stabilize the problem and solve for a realistic solution. Here, we assess different regularization methods for solving the inverse problem. In this study, we assess (i) zero order Tikhonov regularizati...

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Detalles Bibliográficos
Autores principales: Karoui, Amel, Bear, Laura, Migerditichan, Pauline, Zemzemi, Nejib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281950/
https://www.ncbi.nlm.nih.gov/pubmed/30555347
http://dx.doi.org/10.3389/fphys.2018.01708

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281950/
https://www.ncbi.nlm.nih.gov/pubmed/30555347
http://dx.doi.org/10.3389/fphys.2018.01708

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