An Efficient Heartbeats Classifier Based on Optimizing Convolutional Neural Network Model
Recently, deep learning models have emerged as promising methods for the diagnosis of different diseases. Cardiac disease is among the leading life-threatening diseases on a global scale. The aim of this paper is to propose an optimized Convolutional Neural Network (CNN) model for the classification...
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Auteurs principaux: | Eman Maghawry, Tarek F. Gharib, Rasha Ismail, Mohammed J. Zaki |
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Format: | article |
Langue: | EN |
Publié: |
IEEE
2021
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Sujets: | |
Accès en ligne: | https://doaj.org/article/857cb0a9f97345f3a4a2b3f96dc2ed87 |
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