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Deep learning-based electrocardiogram rhythm and beat features for heart abnormality classification
BACKGROUND: Electrocardiogram (ECG) signal classification plays a critical role in the automatic diagnosis of heart abnormalities. While most ECG signal patterns cannot be recognized by a human interpreter, they can be detected with precision using artificial intelligence approaches, making the ECG...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802771/ https://www.ncbi.nlm.nih.gov/pubmed/35174263 http://dx.doi.org/10.7717/peerj-cs.825 |