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
Published in:	Sensors (Basel, Switzerland) Vol. 21; no. 15; p. 5222
Main Authors:	Wang, Liang-Hung, Yan, Ze-Hong, Yang, Yi-Ting, Chen, Jun-Ying, Yang, Tao, Kuo, I-Chun, Abu, Patricia Angela R., Huang, Pao-Cheng, Chen, Chiung-An, Chen, Shih-Lun
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2021 MDPI
Subjects:	Accuracy Algorithms Artificial intelligence atrial fibrillation Cardiac arrhythmia Cardiology Classification Deep learning Disease ECG signal Hospitals image-to-data Laboratories Machine learning Neural networks prediction support vector machine Wavelet transforms
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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