A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms

R Alcaraz, JJ Rieta - Biomedical Signal Processing and Control, 2010 - Elsevier
The application of non-linear metrics to physiological signals is a valuable tool because
“hidden information” related to underlying mechanisms can be obtained. In this respect …

Atrial fibrillatory rate in the clinical context: natural course and prediction of intervention outcome

PG Platonov, VDA Corino, M Seifert, F Holmqvist… - Europace, 2014 - academic.oup.com
Shortening of atrial refractory period during atrial fibrillation has been considered a hallmark
of atrial electrical remodelling. The atrial fibrillatory cycle length, which is intimately related to …

Optimal parameters study for sample entropy-based atrial fibrillation organization analysis

R Alcaraz, D Abásolo, R Hornero, JJ Rieta - Computer methods and …, 2010 - Elsevier
Sample entropy (SampEn) is a nonlinear regularity index that requires the a priori selection
of three parameters: the length of the sequences to be compared, m, the patterns similarity …

[HTML][HTML] Using minimum redundancy maximum relevance algorithm to select minimal sets of heart rate variability parameters for atrial fibrillation detection

S Buś, K Jędrzejewski, P Guzik - Journal of Clinical Medicine, 2022 - mdpi.com
Heart rate is quite regular during sinus (normal) rhythm (SR) originating from the sinus node.
In contrast, heart rate is usually irregular during atrial fibrillation (AF). Complete …

An echo state neural network for QRST cancellation during atrial fibrillation

A Petrenas, V Marozas, L Sornmo… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
A novel method for QRST cancellation during atrial fibrillation (AF) is introduced for use in
recordings with two or more leads. The method is based on an echo state neural network …

Atrial fibrillation burden estimation using multi-task deep convolutional neural network

E Prabhakararao, S Dandapat - IEEE Journal of Biomedical …, 2022 - ieeexplore.ieee.org
Atrial fibrillation (AF) burden is defined as the percentage of time the patient is in AF rhythm
during a certain monitoring period. The accurate AF burden estimation from the long-term …

Classification of paroxysmal and persistent atrial fibrillation in ambulatory ECG recordings

R Alcaraz, F Sandberg, L Sörnmo… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
The problem of classifying short atrial fibrillatory segments in ambulatory ECG recordings as
being either paroxysmal or persistent is addressed by investigating a robust approach to …

Long-term frequency gradients during persistent atrial fibrillation in sheep are associated with stable sources in the left atrium

D Filgueiras-Rama, NF Price, RP Martins… - Circulation …, 2012 - ahajournals.org
Background—Dominant frequencies (DFs) of activation are higher in the atria of patients
with persistent than paroxysmal atrial fibrillation (AF), and left atrial (LA)-to-right atrial (RA) …

Atrial fibrillation detection with signal decomposition and dilated residual neural network

Y Li, Y **a - Physiological Measurement, 2023 - iopscience.iop.org
Objective. Detecting atrial fibrillation (AF) using electrocardiogram (ECG) recordings from
wearable devices has been challenging due to factors such as low signal-to-noise ratio and …

Noninvasive time and frequency predictors of long‐standing atrial fibrillation early recurrence after electrical cardioversion

R Alcaraz, F Hornero, JJ Rieta - Pacing and Clinical …, 2011 - Wiley Online Library
Background: Several clinical factors have been studied to predict atrial fibrillation (AF)
recurrence after electrical cardioversion (ECV) with limited predictive value. Methods: A …