An Ensemble of Deep Learning-Based Multi-Model for ECG Heartbeats Arrhythmia Classification

An Ensemble of Deep Learning-Based Multi-Model for ECG Heartbeats Arrhythmia Classification

An automatic system for heart arrhythmia classification can perform a substantial role in managing and treating cardiovascular diseases. In this paper, a deep learning-based multi-model system is proposed for the classification of electrocardiogram (ECG) signals. Two different deep learning bagging...

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Bibliographic Details
Main Authors: Ehab Essa, Xianghua Xie
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Electrocardiogram (ECG)
CNN
LSTM
bagging
ensemble
deep learning
Online Access:https://ieeexplore.ieee.org/document/9492034/

Internet

https://ieeexplore.ieee.org/document/9492034/

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