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Deep Learning Based Prediction of Atrial Fibrillation Disease Progression with Endocardial Electrograms in a Canine Model
OBJECTIVE: We sought to determine whether electrical patterns in endocardial wavefronts contained elements specific to atrial fibrillation (AF) disease progression. METHODS: A canine paced model (n=7, female mongrel, 29±2 kg) of persistent AF was endocardially mapped with a 64-electrode basket cathe...
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| 出版年: | Comput Cardiol (2010) |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8286069/ https://ncbi.nlm.nih.gov/pubmed/34277878 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.22489/cinc.2020.291 |
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