Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet

Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet

Introduction: Atrial fibrillation (AF) is the most common cardiac arrhythmia, which is clinically identified with irregular and rapid heartbeat rhythm. AF puts a patient at risk of forming blood clots, which can eventually lead to heart failure, stroke, or even sudden death. Electrocardiography (ECG...

Full description

Bibliographic Details
Main Authors: Jianxin Xie, Stavros Stavrakis, Bing Yao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Physiology
Subjects:
convolutional neural network
residual network
wavelet transform
multi-branching outputs
ECG signal analysis
imbalanced data
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2024.1362185/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2024.1362185/full

Similar Items