Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine

S Asgari, A Mehrnia, M Moussavi - Computers in biology and medicine, 2015 - Elsevier
Background Atrial fibrillation (AF) is the most common cardiac arrhythmia, and a major
public health burden associated with significant morbidity and mortality. Automatic detection …

Automatic detection of atrial fibrillation based on continuous wavelet transform and 2D convolutional neural networks

R He, K Wang, N Zhao, Y Liu, Y Yuan, Q Li… - Frontiers in …, 2018 - frontiersin.org
Atrial fibrillation (AF) is the most common cardiac arrhythmias causing morbidity and
mortality. AF may appear as episodes of very short (ie, proximal AF) or sustained duration …

Overview on prediction, detection, and classification of atrial fibrillation using wavelets and AI on ECG

H Serhal, N Abdallah, JM Marion, P Chauvet… - Computers in Biology …, 2022 - Elsevier
Atrial fibrillation (AF) is the most common supraventricular cardiac arrhythmia, resulting in
high mortality rates among affected patients. AF occurs as episodes coming from irregular …

Atrial fibrillation beat identification using the combination of modified frequency slice wavelet transform and convolutional neural networks

X Xu, S Wei, C Ma, K Luo, L Zhang… - Journal of healthcare …, 2018 - Wiley Online Library
Atrial fibrillation (AF) is a serious cardiovascular disease with the phenomenon of beating
irregularly. It is the major cause of variety of heart diseases, such as myocardial infarction …

[HTML][HTML] Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks

S Nurmaini, AE Tondas, A Darmawahyuni… - Future Generation …, 2020 - Elsevier
The most prevalent arrhythmia observed in clinical practice is atrial fibrillation (AF). AF is
associated with an irregular heartbeat pattern and a lack of a distinct P-waves signal. A low …

Automated detection of atrial fibrillation in ECG signals based on wavelet packet transform and correlation function of random process

J Wang, P Wang, S Wang - Biomedical Signal Processing and Control, 2020 - Elsevier
Atrial fibrillation (AF) is a common cardiac arrhythmia in clinic. The traditional AF detection
using visual inspection by trained physicians is an inefficient and burdensome task. In this …

Integration of results from convolutional neural network in a support vector machine for the detection of atrial fibrillation

C Ma, S Wei, T Chen, J Zhong, Z Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Atrial fibrillation (AF) can cause a variety of heart diseases and its detection is insufficient in
outside hospital. We proposed three methods for AF diagnosis in ambulatory settings. The …

High accuracy of automatic detection of atrial fibrillation using wavelet transform of heart rate intervals

D Duverney, JM GASPOZ, V Pichot… - Pacing and clinical …, 2002 - Wiley Online Library
DUVERNEY, D., et al.: High Accuracy of Automatic Detection of Atrial Fibrillation Using
Wavelet Transform of Heart Rate Intervals. Permanent and paroxysmal AF is a risk factor for …

An automated detection of atrial fibrillation from single‑lead ECG using HRV features and machine learning

AS Udawat, P Singh - Journal of Electrocardiology, 2022 - Elsevier
Background Atrial fibrillation (AF) is a disorder of the heart rhythm where irregular and rapid
heartbeats are observed. This supraventricular arrhythmia may increase the risk of blood …

Application of the relative wavelet energy to heart rate independent detection of atrial fibrillation

M García, J Ródenas, R Alcaraz, JJ Rieta - computer methods and …, 2016 - Elsevier
Abstract Background and Objectives Atrial fibrillation (AF) is the most common sustained
cardiac arrhythmia and a growing healthcare burden worldwide. It is often asymptomatic and …