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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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| Опубликовано в: : | IEEE EMBS Int Conf Biomed Health Inform |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2019
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| Предметы: | |
| Online-ссылка: | 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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