Comparison of Supervised Learning Algorithms for Quality Assessment of Wearable Electrocardiograms With Paroxysmal Atrial Fibrillation

Emerging wearable technology able to monitor electrocardiogram (ECG) continuously for long periods of time without disrupting the patient’s daily life represents a great opportunity to improve suboptimal current diagnosis of paroxysmal atrial fibrillation (AF). However, its integration in...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Alvaro Huerta, Arturo Martinez, Davide Carneiro, Vicente Bertomeu-Gonzalez, Jose J. Rieta, Raul Alcaraz
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Atrial fibrillation signal quality assessment long-term ECG monitoring deep learning machine learning
Online Access:	https://ieeexplore.ieee.org/document/10256180/