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

• 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: text
• Published: Archīum Ateneo 2021
• Subjects: ECG signal; atrial fibrillation; support vector machine; image-to-data; prediction; Cardiology; Engineering; Medicine and Health Sciences
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/215; https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1219&context=discs-faculty-pubs
• Institution: Ateneo De Manila University

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...