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Introduction: The presence of fibrillatory waves (f-waves) is important in the diagnosis of atrial fibrillation (AF), which has motivated the development of methods for f-wave extraction. We propose a novel approach to benchmarking methods…

Signal Processing · Electrical Eng. & Systems 2023-07-18 Noam Ben-Moshe , Shany Biton , Kenta Tsutsui , Mahmoud Suleiman , Leif Sörnmo , Joachim A. Behar

Atrial fibrillation (AF) is the most prevalent heart arrhythmia. AF manifests on the electrocardiogram (ECG) though irregular beat-to-beat time interval variation, the absence of P-wave and the presence of fibrillatory waves (f-wave). We…

Signal Processing · Electrical Eng. & Systems 2022-08-23 Noam Ben-Moshe , Shany Biton , Joachim A. Behar

Catheter ablation (CA) is a commonly used treatment for persistent atrial fibrillation (AF). Since its medium/long-term success rate remains limited, preoperative prediction of its outcome is gaining clinical interest to optimally select…

Signal Processing · Electrical Eng. & Systems 2024-01-19 P. Escribano , J. Rodenas , M. Garcia , M. A. Arias , V. M. Hidalgo , S. Calero , J. J. Rieta , R. Alcaraz

Atrial fibrillation (AF) is the most common cardiac arrhythmia in human beings, and is associated with significant morbidity and mortality. The current standard of care includes interventional catheter ablation in selected patients, but the…

Atrial Fibrillation (AF) is a heart's arrhythmia which, despite being often asymptomatic, represents an important risk factor for stroke, therefore being able to predict AF at the electrocardiogram exam, would be of great impact on actively…

Signal Processing · Electrical Eng. & Systems 2022-02-14 A. Scagnetto , G. Barbati , I. Gandin , C. Cappelletto , G. Baj , A. Cazzaniga , F. Cuturello , A. Ansuini , L. Bortolussi , A. Di Lenarda

Atrial Fibrillation (AF) is the most common type of arrhythmia (Greek a-, loss + rhythmos, rhythm = loss of rhythm) leading to hospitalization in the United States. Though sometimes AF is asymptomatic, it increases the risk of stroke and…

Machine Learning · Computer Science 2021-09-22 Samayan Bhattacharya , Sk Shahnawaz

Atrial fibrillation is a cardiac arrhythmia that affects an estimated 33.5 million people globally and is the potential cause of 1 in 3 strokes in people over the age of 60. Detection and diagnosis of atrial fibrillation (AFIB) is done…

Machine Learning · Computer Science 2019-03-29 Sara Ross-Howe , H. R. Tizhoosh

Atrial fibrillation (AF) is characterized by irregular electrical impulses originating in the atria, which can lead to severe complications and even death. Due to the intermittent nature of the AF, early and timely monitoring of AF is…

Sound · Computer Science 2024-10-29 Xuanyu Liu , Jiao Li , Haoxian Liu , Zongqi Yang , Yi Huang , Jin Zhang

Although catheter ablation (CA) is still the first-line treatment for persistent atrial fibrillation (AF) patients, its limited long-term success rate has motivated clinical interest in preoperative prediction on the procedures outcome to…

Medical Physics · Physics 2024-01-22 Pilar Escribano , Juan Rodenas , Miguel A Arias , Philip Langley , Jose J Rieta , Raul Alcaraz

Atrial Fibrillation (AF) is among one of the most common types of heart arrhythmia afflicting more than 3 million people in the U.S. alone. AF is estimated to be the cause of death of 1 in 4 individuals. Recent advancements in Artificial…

Signal Processing · Electrical Eng. & Systems 2020-11-03 James Belen , Sajad Mousavi , Alireza Shamsoshoara , Fatemeh Afghah

Atrial fibrillation (AF) is one of the most prevalent cardiac arrhythmias that affects the lives of more than 3 million people in the U.S. and over 33 million people around the world and is associated with a five-fold increased risk of…

Quantitative Methods · Quantitative Biology 2020-02-14 Sajad Mousavi , Fatemeh Afghah , U. Rajendra Acharya

Atrial fibrillation (AF) is characterized by irregular electrical impulses originating in the atria, which can lead to severe complications and even death. Due to the intermittent nature of the AF, early and timely monitoring of AF is…

Sound · Computer Science 2024-08-12 Xuanyu Liu , Haoxian Liu , Jiao Li , Zongqi Yang , Yi Huang , Jin Zhang

Objective: Atrial fibrillation (AF) is the most common cardiac arrhythmia experienced by intensive care unit (ICU) patients and can cause adverse health effects. In this study, we publish a labelled ICU dataset and benchmarks for AF…

Atrial fibrillation (AF) is the most common form of arrhythmia with accelerated and irregular heart rate (HR), leading to both heart failure and stroke and being responsible for an increase in cardiovascular morbidity and mortality. In…

Fluid Dynamics · Physics 2018-06-26 Stefania Scarsoglio , Caterina Gallo , Luca Ridolfi

Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with a five-fold increase in stroke risk. Many individuals with AF go undetected. These individuals are often asymptomatic. There are ongoing debates on whether…

Signal Processing · Electrical Eng. & Systems 2020-10-19 Armand Chocron , Roi Efraim , Franck Mandel , Michael Rueschman , Niclas Palmius , Thomas Penzel , Meyer Elbaz , Joachim A. Behar

Atrial fibrillation (AF) is the most common cardiac arrhythmia, which is clinically identified with irregular and rapid heartbeat rhythm. AF puts a patient at risk of forming blood clots, which can eventually lead to heart failure, stroke,…

Signal Processing · Electrical Eng. & Systems 2023-06-28 Jianxin Xie , Stavros Stavrakis , Bing Yao

Detection of atrial fibrillation (AF), a type of cardiac arrhythmia, is difficult since many cases of AF are usually clinically silent and undiagnosed. In particular paroxysmal AF is a form of AF that occurs occasionally, and has a higher…

Neurons and Cognition · Quantitative Biology 2018-05-24 Supreeth P. Shashikumar , Amit J. Shah , Gari D. Clifford , Shamim Nemati

Atrial fibrillation (AF) is a common cardiac arrhythmia and a major risk factor for ischemic stroke. Early detection of AF using non-invasive signals can enable timely intervention. In this work, we present a comprehensive machine learning…

Computers and Society · Computer Science 2026-02-23 Ankit Singh , Vidhi Thakur , Nachiket Tapas

Atrial fibrillation (AF) is a common arrhythmia and major risk factor for cardiovascular complications. While commercially available devices and supporting Artificial Intelligence (AI) algorithms exist for reliable detection of AF, the…

Hardware Architecture · Computer Science 2025-08-20 Dominik Loroch , Johannes Feldmann , Vladimir Rybalkin , Norbert Wehn

Atrial fibrillation (AF) is the most common arrhythmia, increasing the risk of stroke, heart failure, and other cardiovascular complications. While AF detection algorithms perform well in identifying persistent AF, early-stage progression,…

Machine Learning · Computer Science 2025-08-28 Yongbin Lee , Ki H. Chon
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