Approach Based Lightweight Custom Convolutional Neural Network and Fine-Tuned MobileNet-V2 for ECG Arrhythmia Signals Classification

Arrhythmia detection in electrocardiogram (ECG) signals is a vital aspect of cardiovascular health monitoring. Current automated methods for arrhythmia classification often struggle to attain satisfactory performance in the detection of various heart conditions, particularly when dealing with imbala...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Hadjer Bechinia, Djamel Benmerzoug, Nawres Khlifa
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	ECG arrhythmia classification deep learning convolution neural network (CNN) transfer learning MobileNet-V2
Online Access:	https://ieeexplore.ieee.org/document/10474373/