A Classification and Prediction Hybrid Model Construction with the IQPSO-SVM Algorithm for Atrial Fibrillation Arrhythmia

A Classification and Prediction Hybrid Model Construction with the IQPSO-SVM Algorithm for Atrial Fibrillation Arrhythmia

Atrial fibrillation (AF) is the most common cardiovascular disease (CVD), and most existing algorithms are usually designed for the diagnosis (i.e., feature classification) or prediction of AF. Artificial intelligence (AI) algorithms integrate the diagnosis of AF electrocardiogram (ECG) and predict...

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Bibliographic Details
Main Authors: Liang-Hung Wang, Ze-Hong Yan, Yi-Ting Yang, Jun-Ying Chen, Tao Yang, I-Chun Kuo, Patricia Angela R. Abu, Pao-Cheng Huang, Chiung-An Chen, Shih-Lun Chen
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
ECG signal
atrial fibrillation
support vector machine
image-to-data
prediction
Online Access:https://www.mdpi.com/1424-8220/21/15/5222

Internet

https://www.mdpi.com/1424-8220/21/15/5222

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