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Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning
We present a new, computationally efficient framework to perform forward uncertainty quantification (UQ) in cardiac electrophysiology. We consider the monodomain model to describe the electrical activity in the cardiac tissue, coupled with the Aliev‐Panfilov model to characterize the ionic activity...
Guardat en:
| Publicat a: | Int J Numer Method Biomed Eng |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
John Wiley & Sons, Inc.
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8244126/ https://ncbi.nlm.nih.gov/pubmed/33599106 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cnm.3450 |
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