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Deep residual-dense network based on bidirectional recurrent neural network for atrial fibrillation detection
Atrial fibrillation easily leads to stroke, cerebral infarction and other complications, which will seriously harm the life and health of patients. Traditional deep learning methods have weak anti-interference and generalization ability. Therefore, we propose a new-fashioned deep residual-dense netw...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10499947/ https://www.ncbi.nlm.nih.gov/pubmed/37704659 http://dx.doi.org/10.1038/s41598-023-40343-x |