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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 the most prevalent cardiac arrhythmia worldwide, with 2% of the population affected. It is associated with an increased risk of strokes, heart failure and other heart-related complications. Monitoring at-risk…

Machine Learning · Computer Science 2021-11-24 Sideshwar J B , Sachin Krishan T , Vishal Nagarajan , Shanthakumar S , Vineeth Vijayaraghavan

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 the most common abnormal heart rhythm and the single biggest cause of stroke. Ablation, destroying regions of the atria, is applied largely empirically and can be curative but with a disappointing clinical…

Medical Physics · Physics 2015-06-19 Kim Christensen , Kishan A. Manani , Nicholas S. Peters

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 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 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

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 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 arrhythmia affecting millions of people in the Western countries and, due to the widespread impact on the population and its medical relevance, is largely investigated in both clinical and…

Medical Physics · Physics 2014-09-12 Stefania Scarsoglio , Andrea Guala , Carlo Camporeale , Luca Ridolfi

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

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 a common cardiac arrhythmia affecting a large number of people around the world. If left undetected, it will develop into chronic disability or even early mortality. However, patients who have this problem can…

Signal Processing · Electrical Eng. & Systems 2021-01-20 Dacheng Chen , Dan Li , Xiuqin Xu , Ruizhi Yang , See-Kiong Ng

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 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 a common atrial arrhythmia that impairs quality of life and causes embolic stroke, heart failure and other complications. Recent advancements in machine learning (ML) and deep learning (DL) have shown potential…

Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. It is associated with an increased risk of stroke, heart failure, and other cardiovascular complications, but can be clinically silent. Passive AF monitoring with…

Machine Learning · Computer Science 2024-03-12 Zhicheng Guo , Cheng Ding , Duc H. Do , Amit Shah , Randall J. Lee , Xiao Hu , Cynthia Rudin

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

BACKGROUND: Atrial fibrillation (AF), the most common arrhythmia, is linked to high morbidity and mortality. In a fast-evolving AF rhythm control treatment era, predicting AF recurrence after its onset may be crucial to achieve the optimal…

Objectives: Atrial fibrillation (AF) is a common heart rhythm disorder associated with deadly and debilitating consequences including heart failure, stroke, poor mental health, reduced quality of life and death. Having an automatic system…

Signal Processing · Electrical Eng. & Systems 2018-01-31 Philip Warrick , Masun Nabhan Homsi
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