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Potential of Rule-Based Methods and Deep Learning Architectures for ECG Diagnostics
The main objective of this study is to propose relatively simple techniques for the automatic diagnosis of electrocardiogram (ECG) signals based on a classical rule-based method and a convolutional deep learning architecture. The validation task was performed in the framework of the PhysioNet/Comput...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467148/ https://www.ncbi.nlm.nih.gov/pubmed/34574019 http://dx.doi.org/10.3390/diagnostics11091678 |