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ECGNET: Learning where to attend for detection of atrial fibrillation with deep visual attention
The complexity of the patterns associated with atrial fibrillation (AF) and the high level of noise affecting these patterns have significantly limited the application of current signal processing and shallow machine learning approaches to accurately detect this condition. Deep neural networks have...
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| Publié dans: | IEEE EMBS Int Conf Biomed Health Inform |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7570949/ https://ncbi.nlm.nih.gov/pubmed/33083788 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BHI.2019.8834637 |
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