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Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation
Mapping resolution has recently been identified as a key limitation in successfully locating the drivers of atrial fibrillation (AF). Using a simple cellular automata model of AF, we demonstrate a method by which re-entrant drivers can be located quickly and accurately using a collection of indirect...
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| Publicado no: | R Soc Open Sci |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society Publishing
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5936952/ https://ncbi.nlm.nih.gov/pubmed/29765687 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsos.172434 |
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