Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification

Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification

An arrhythmia happens when the electrical signals that organize the heartbeat do not work accurately. Most cases of arrhythmias may increase the risk of stroke or cardiac arrest. As a result, early detection of arrhythmia reduces fatality rates. This research aims to provide a lightweight multimodel...

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Bibliographic Details
Main Authors: Mohamed Hammad, Souham Meshoul, Piotr Dziwiński, Paweł Pławiak, Ibrahim A. Elgendy
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
arrhythmia
CNN
ECG
lightweight
multimodel
fusion
Online Access:https://www.mdpi.com/1424-8220/22/23/9347

Internet

https://www.mdpi.com/1424-8220/22/23/9347

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