Directional statistics-inspired end-to-end atrial fibrillation detection model based on ECG rhythm

Author:

Luo ChengsiORCID,Zhang Kaixuan,Hu Yeting,Li Xiang,Cao Shenghong,Jin Yu,Ren Peng,Rao NiniORCID

Publisher

Elsevier BV

Reference55 articles.

1. A deep learning approach for real-time detection of atrial fibrillation;Andersen;Expert Systems with Applications,2019

2. Novel density Poincaré plot based machine learning method to detect atrial fibrillation from premature atrial/ventricular contractions;Bashar;IEEE Transactions on Biomedical Engineering,2021

3. Asymptotic theory of a class of tests for uniformity of a circular distribution;Beran;The Annals of Mathematical Statistics,1969

4. Detection of atrial fibrillation using decision tree ensemble;Bin;Computing Cardiology,2017

5. Generalizable and robust deep learning algorithm for atrial fibrillation diagnosis across geography, ages and sexes;Biton;NPJ Digital Medicine,2023

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