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CNN-FWS: A Model for the Diagnosis of Normal and Abnormal ECG with Feature Adaptive
(1) Background and objective: Cardiovascular disease is one of the most common causes of death in today’s world. ECG is crucial in the early detection and prevention of cardiovascular disease. In this study, an improved deep learning method is proposed to diagnose abnormal and normal ECG accurately....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025839/ https://www.ncbi.nlm.nih.gov/pubmed/35455133 http://dx.doi.org/10.3390/e24040471 |