The application of nonlinear metrics to assess organization differences in short recordings of paroxysmal and persistent atrial fibrillation
Author:
Publisher
IOP Publishing
Subject
Physiology (medical),Biomedical Engineering,Physiology,Biophysics
Reference51 articles.
1. Adaptive singular value cancelation of ventricular activity in single-lead atrial fibrillation electrocardiograms
2. A non-invasive method to predict electrical cardioversion outcome of persistent atrial fibrillation
3. Wavelet bidomain sample entropy analysis to predict spontaneous termination of atrial fibrillation
4. Non-invasive organization variation assessment in the onset and termination of paroxysmal atrial fibrillation
5. Sample entropy of the main atrial wave predicts spontaneous termination of paroxysmal atrial fibrillation
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1. Machine learning based potentiating impacts of 12-lead ECG for classifying paroxysmal versus non-paroxysmal atrial fibrillation;International Journal of Arrhythmia;2022-05-02
2. Classification of De novo post-operative and persistent atrial fibrillation using multi-channel ECG recordings;Computers in Biology and Medicine;2022-04
3. Gabor frames for classification of paroxysmal and persistent atrial fibrillation episodes;Medical Engineering & Physics;2017-01
4. Combined Nonlinear Analysis of Atrial and Ventricular Series for Automated Screening of Atrial Fibrillation;Complexity;2017
5. Applications of Nonlinear Methods to Atrial Fibrillation;Complexity and Nonlinearity in Cardiovascular Signals;2017
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