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Comparative analysis between convolutional neural network learned and engineered features: A case study on cardiac arrhythmia detection
BACKGROUND: Atrial fibrillation (AF) is one of the most common cardiovascular problems, and its asymptomatic tendency makes AF detection challenging. Machine and deep learning methods are commonly used in AF detection. OBJECTIVE: The purpose of this study was to evaluate the information provided by...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890095/ https://www.ncbi.nlm.nih.gov/pubmed/35265872 http://dx.doi.org/10.1016/j.cvdhj.2020.04.001 |