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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5936952/ https://www.ncbi.nlm.nih.gov/pubmed/29765687 http://dx.doi.org/10.1098/rsos.172434 |