English
Related papers

Related papers: Atrial Fibrillation Detection Using Machine Learni…

200 papers

Atrial fibrillation (AF) is a common cardiac arrhythmia with serious health consequences if not detected and treated early. Detecting AF using wearable devices with photoplethysmography (PPG) sensors and deep neural networks has…

Signal Processing · Electrical Eng. & Systems 2023-11-14 Cheng Ding , Zhicheng Guo , Cynthia Rudin , Ran Xiao , Amit Shah , Duc H. Do , Randall J Lee , Gari Clifford , Fadi B Nahab , Xiao Hu

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 a prevalent cardiac arrhythmia associated with significant health ramifications, including an elevated susceptibility to ischemic stroke, heart disease, and heightened mortality. Photoplethysmography (PPG) has…

Signal Processing · Electrical Eng. & Systems 2023-10-24 Cheng Ding , Ran Xiao , Weijia Wang , Elizabeth Holdsworth , Xiao Hu

We develop an algorithm that accurately detects Atrial Fibrillation (AF) episodes from photoplethysmograms (PPG) recorded in ambulatory free-living conditions. We collect and annotate a dataset containing more than 4000 hours of PPG…

Medical Physics · Physics 2018-11-29 Maxime Voisin , Yichen Shen , Alireza Aliamiri , Anand Avati , Awni Hannun , Andrew Ng

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

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 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 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

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

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 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 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 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

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 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

Hypertrophic cardiomyopathy (HCM) patients have a high incidence of atrial fibrillation (AF) and increased stroke risk, even with low risk of congestive heart failure, hypertension, age, diabetes, previous stroke/transient ischemic attack…

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 (AF) is the most common cardiac arrhythmia and associated with a high risk for serious conditions like stroke. The use of wearable devices embedded with automatic and timely AF assessment from electrocardiograms (ECGs)…

Signal Processing · Electrical Eng. & Systems 2023-09-12 Leonie Basso , Zhao Ren , Wolfgang Nejdl

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 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
‹ Prev 1 2 3 10 Next ›