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Two-dimensional ECG-based cardiac arrhythmia classification using DSE-ResNet
Electrocardiogram (ECG) is mostly used for the clinical diagnosis of cardiac arrhythmia due to its simplicity, non-invasiveness, and reliability. Recently, many models based on the deep neural networks have been applied to the automatic classification of cardiac arrhythmia with great success. Howeve...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411603/ https://www.ncbi.nlm.nih.gov/pubmed/36008568 http://dx.doi.org/10.1038/s41598-022-18664-0 |