A review on atrial fibrillation detection from ambulatory ECG

C Ma, Z Xiao, L Zhao, S Biton, JA Behar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Atrial fibrillation (AF) is a prevalent clinical arrhythmia disease and is an important cause of
stroke, heart failure, and sudden death. Due to the insidious onset and no obvious clinical …

Detection of atrial fibrillation from variable-duration ECG signal based on time-adaptive densely network and feature enhancement strategy

X Zhang, M Jiang, K Polat, A Alhudhaif… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Atrial fibrillation (AF) is one of the clinic's most common arrhythmias with high morbidity and
mortality. Developing an intelligent auxiliary diagnostic model of AF based on a body …

[HTML][HTML] Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network

H Zhang, C Liu, F Tang, M Li, D Zhang, L Xia… - Frontiers in …, 2023 - frontiersin.org
Atrial fibrillation (AF) is the most common cardiac arrhythmia, and its early detection is critical
for preventing complications and optimizing treatment. In this study, a novel AF prediction …

Automlp: A framework for the acceleration of multi-layer perceptron models on FPGAs for real-time atrial fibrillation disease detection

C Chen, B da Silva, C Yang, C Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Cardiovascular diseases are a leading cause of death globally, and atrial fibrillation (AF) is a
common arrhythmia that affects many people. Detecting AF in real-time using hardware …

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

C Luo, K Zhang, Y Hu, X Li, S Cao, Y Jin, P Ren… - Expert Systems with …, 2024 - Elsevier
Numerous algorithms designed for detecting atrial fibrillation (AF) often exhibit limitations in
extracting essential rhythm features, leading to challenges in accurately discerning ectopic …

A deep learning method for beat-level risk analysis and interpretation of atrial fibrillation patients during sinus rhythm

J Lei, Y Zhou, X Tian, Q Zhao, Q Zhang, S Geng… - … Signal Processing and …, 2025 - Elsevier
Atrial Fibrillation (AF) is a common cardiac arrhythmia. Many AF patients experience
complications such as stroke and other cardiovascular issues. Early detection of AF is …

An Attribute-Decoupled Model for Onset Identification of Atrial Fibrillation in Single-Lead Electrocardiograms

Q Li, X Wang, H Gao, R Ge, J Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The transient and asymptomatic nature of paroxysmal atrial fibrillation (PAF) episodes
makes their localization challenging. Although there has been an interest in assessing the …

MMA-RNN: A multi-level multi-task attention-based recurrent neural network for discrimination and localization of atrial fibrillation

Y Sun, J Shen, Y Jiang, Z Huang, M Hao… - … Signal Processing and …, 2024 - Elsevier
Background: Atrial fibrillation significantly impacts individual health, public wellness, and
healthcare expenditure. The primary tool for its detection is the Electrocardiograph (ECG), a …

An atrial fibrillation detection strategy in dynamic ECGs with significant individual differences

C Ma, X Long, W Sheng, R Vullings… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Atrial fibrillation (AF) is an insidious disease. Many long-term wearable electrocardiogram
(ECG) monitoring devices have been used to monitor AF. The accuracy of detectors used to …

Difference Poincaré Image Feature Based Persistent Atrial Fibrillation Classification Using Short-Term Electrocardiograms

MM Islam, S Kabir, MA Motin - IEEE Sensors Letters, 2024 - ieeexplore.ieee.org
Atrial fibrillation (AF) is a prevalent cardiac arrhythmia with substantial health consequences.
Persistent atrial fibrillation (PersAF), an earlier stage of AF, persists over a week and may …