An Efficient Heartbeats Classifier Based on Optimizing Convolutional Neural Network Model

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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Bibliographic Details
Main Authors: Eman Maghawry, Tarek F. Gharib, Rasha Ismail, Mohammed J. Zaki
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Cardiac disease
convolutional neural network
hyperparameter selection
genetic algorithms
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/857cb0a9f97345f3a4a2b3f96dc2ed87
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