Application of wavelet entropy to predict atrial fibrillation progression from the surface ECG

R Alcaraz, JJ Rieta - Computational and mathematical methods …, 2012 - Wiley Online Library
Atrial fibrillation (AF) is the most common supraventricular arrhythmia in clinical practice,
thus, being the subject of intensive research both in medicine and engineering. Wavelet …

Sample entropy of the main atrial wave predicts spontaneous termination of paroxysmal atrial fibrillation

R Alcaraz, JJ Rieta - Medical engineering & physics, 2009 - Elsevier
Atrial fibrillation (AF) is the most common arrhythmia in clinical practice. In the first stages of
the disease, AF may terminate spontaneously and it is referred as paroxysmal atrial …

Wavelet entropy automatically detects episodes of atrial fibrillation from single-lead electrocardiograms

J Ródenas, M García, R Alcaraz, JJ Rieta - Entropy, 2015 - mdpi.com
This work introduces for the first time the application of wavelet entropy (WE) to detect
episodes of the most common cardiac arrhythmia, atrial fibrillation (AF), automatically from …

Wavelet bidomain sample entropy analysis to predict spontaneous termination of atrial fibrillation

R Alcaraz, JJ Rieta - Physiological Measurement, 2008 - iopscience.iop.org
The ability to predict if an atrial fibrillation (AF) episode terminates spontaneously or not
through non-invasive techniques is a challenging problem of great clinical interest. This fact …

Central tendency measure and wavelet transform combined in the non-invasive analysis of atrial fibrillation recordings

R Alcaraz, JJ Rieta - Biomedical engineering online, 2012 - Springer
Background Atrial fibrillation (AF) is the most common supraventricular arrhythmia in the
clinical practice, being the subject of intensive research. Methods The present work …

A non-invasive method to predict electrical cardioversion outcome of persistent atrial fibrillation

R Alcaraz, JJ Rieta - Medical & Biological Engineering & Computing, 2008 - Springer
Atrial fibrillation (AF) is the most common cardiac arrhythmia with episodes that may
terminate spontaneously in the first stages of the disease. On the other hand, when the …

Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation

M Julián, R Alcaraz, JJ Rieta - Computers in Biology and Medicine, 2014 - Elsevier
Atrial fibrillation (AF) is today the most common sustained arrhythmia, its treatment being not
completely satisfactory. Electrical activity organization analysis within the atria could play a …

A novel application of sample entropy to the electrocardiogram of atrial fibrillation

R Alcaraz, JJ Rieta - Nonlinear Analysis: Real World Applications, 2010 - Elsevier
Nowadays, several non-linear regularity estimators have been successfully applied to
invasive atrial electrograms in order to characterize the atrial electrical activity organization …

Automated diagnosis of atrial fibrillation ECG signals using entropy features extracted from flexible analytic wavelet transform

M Kumar, RB Pachori, UR Acharya - Biocybernetics and Biomedical …, 2018 - Elsevier
Atrial fibrillation (AF) is the most common type of sustained arrhythmia. The
electrocardiogram (ECG) signals are widely used to diagnose the AF. Automated diagnosis …

Sample entropy analysis of noisy atrial electrograms during atrial fibrillation

EM Cirugeda-Roldán, A Molina Picó… - … methods in medicine, 2018 - Wiley Online Library
Most cardiac arrhythmias can be classified as atrial flutter, focal atrial tachycardia, or atrial
fibrillation. They have been usually treated using drugs, but catheter ablation has proven …