Automatic heart disease class detection using convolutional neural network architecture‐based various optimizers‐networks

Automatic heart disease class detection using convolutional neural network architecture‐based various optimizers‐networks

Abstract Early heart disease class detection is of great interest to reduce the mortality rate. In this context, computational techniques have been proposed to solve this issue. Thus, here, a deep learning architecture is proposed to automatically classify the patient’s Electrocardiogram (ECG) signa...

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Bibliographic Details
Main Authors: Marwa Fradi, Lazhar Khriji, Mohsen Machhout, Abdulnasir Hossen
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:IET Smart Cities
Subjects:
diseases
electrocardiography
learning (artificial intelligence)
low‐pass filters
medical signal detection
signal classification
Online Access:https://doi.org/10.1049/smc2.12003

Internet

https://doi.org/10.1049/smc2.12003

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