A Novel Hybrid Model Based on Convolutional Neural Network With Particle Swarm Optimization Algorithm for Classification of Cardiac Arrhythmias

A Novel Hybrid Model Based on Convolutional Neural Network With Particle Swarm Optimization Algorithm for Classification of Cardiac Arrhythmias

An electrocardiogram (ECG) is a non-invasive study used for the diagnosis of cardiac arrhythmias (CAs). The identification of a cardiac arrhythmia depends on its classification. This classification has been approached through different strategies, both mathematical and computational. In this work, a...

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Bibliographic Details
Main Authors: Fredy Santander Banos, Norberto Hernandez Romero, Juan Carlos Seck Tuoh Mora, Joselito Medina Marin, Irving Barragan Vite, Gustavo Erick Anaya Fuentes
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cardiac arrhythmias classification
convolutional neural network
hyperparameter optimization
particle swarm optimization
Online Access:https://ieeexplore.ieee.org/document/10143187/

Internet

https://ieeexplore.ieee.org/document/10143187/

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