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Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation
AIMS: Atrial fibrillation (AF) is sustained by re-entrant activation patterns. Ablation strategies have been proposed that target regions of tissue that may support re-entrant activation patterns. We aimed to characterize the tissue properties associated with regions that tether re-entrant activatio...
Gorde:
| Argitaratua izan da: | Europace |
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| Egile Nagusiak: | , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Oxford University Press
2021
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7943361/ https://ncbi.nlm.nih.gov/pubmed/33437987 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/europace/euaa386 |
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