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
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
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10256180/