Detection of atrial fibrillation using a nonlinear Lorenz Scattergram and deep learning in primary care

Detection of atrial fibrillation using a nonlinear Lorenz Scattergram and deep learning in primary care

Abstract Background Atrial fibrillation (AF) is highly correlated with heart failure, stroke and death. Screening increases AF detection and facilitates the early adoption of comprehensive intervention. Long-term wearable devices have become increasingly popular for AF screening in primary care. How...

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Bibliographic Details
Main Authors: Yi Yao, Yu Jia, Miaomiao Wu, Songzhu Wang, Haiqi Song, Xiang Fang, Xiaoyang Liao, Dongze Li, Qian Zhao
Format: Article
Language:English
Published: BMC 2024-07-01
Series:BMC Primary Care
Subjects:
Atrial fibrillation
Computer-assisted diagnosis model
Convolutional neural network
Lorenz scattergram
Primary care
Online Access:https://doi.org/10.1186/s12875-024-02407-3

Internet

https://doi.org/10.1186/s12875-024-02407-3

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