Predicting spontaneous termination of atrial fibrillation based on dual path network and feature selection

Author:

Liu LeiORCID,Liu Feifei,Ren Xiaofei,Li Yongjian,Han BaokunORCID,Zhang Liting,Wei ShoushuiORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference39 articles.

1. Atrial Fibrillation: Pathogenesis, Predisposing Factors, and Genetics;Sagris;Int. J. Mol. Sci.,2021

2. Cellular and Molecular Electrophysiology of Atrial Fibrillation Initiation, Maintenance, and Progression;Heijman;Circ. Res.,2014

3. Atrial fibrillation and risks of cardiovascular disease, renal disease, and death: systematic review and meta-analysis;Odutayo;BMJ,2016

4. Observations on the transition from intermittent to permanent atrial fibrillation;Al-Khatib;Am. Heart J.,2000

5. PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals;Goldberger;Circulation,2000

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