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Related papers: HAN-ECG: An Interpretable Atrial Fibrillation Dete…

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Atrial Fibrillation (AF) is an abnormal heart rhythm which can trigger cardiac arrest and sudden death. Nevertheless, its interpretation is mostly done by medical experts due to high error rates of computerized interpretation. One study…

Signal Processing · Electrical Eng. & Systems 2019-08-20 Yuxi Zhou , Shenda Hong , Junyuan Shang , Meng Wu , Qingyun Wang , Hongyan Li , Junqing Xie

Cardiac arrhythmia is a prevalent and significant cause of morbidity and mortality among cardiac ailments. Early diagnosis is crucial in providing intervention for patients suffering from cardiac arrhythmia. Traditionally, diagnosis is…

Signal Processing · Electrical Eng. & Systems 2020-04-14 Sricharan Vijayarangan , Balamurali Murugesan , Vignesh R , Preejith SP , Jayaraj Joseph , Mohansankar Sivaprakasam

Introduction: 12-lead electrocardiogram (ECG) is recorded during atrial fibrillation (AF) catheter ablation procedure (CAP). It is not easy to determine if CAP was successful without a long follow-up assessing for AF recurrence (AFR).…

Machine Learning · Computer Science 2022-08-24 Eran Zvuloni , Sheina Gendelman , Sanghamitra Mohanty , Jason Lewen , Andrea Natale , Joachim A. Behar

Heart failure (HF) is a major cause of mortality. Accurately monitoring HF progress and adjust therapies are critical for improving patient outcomes. An experienced cardiologist can make accurate HF stage diagnoses based on combination of…

Machine Learning · Computer Science 2021-03-23 Shuyu Lu , Ruoyu Chen , Wei Wei , Xinghua Lu

The electrocardiogram (ECG) is one of the most commonly-used tools to diagnose cardiovascular disease in clinical practice. Although deep learning models have achieved very impressive success in the field of automatic ECG analysis, they…

Machine Learning · Computer Science 2024-07-26 Linpeng Jin

Objective. Arrhythmia classification from electrocardiograms (ECGs) suffers from high false positive rates and limited cross-dataset generalization, particularly for atrial fibrillation (AF) detection where specificity ranges from 0.72 to…

Machine Learning · Computer Science 2026-02-16 Tiezhi Wang , Wilhelm Haverkamp , Nils Strodthoff

Electrocardiograms (ECGs), a medical monitoring technology recording cardiac activity, are widely used for diagnosing cardiac arrhythmia. The diagnosis is based on the analysis of the deformation of the signal shapes due to irregular heart…

Signal Processing · Electrical Eng. & Systems 2023-12-18 Parshuram N. Aarotale , Ajita Rattani

Many types of ventricular and atrial cardiac arrhythmias have been discovered in clinical practice in the past 100 years, and these arrhythmias are a major contributor to sudden cardiac death. Ventricular tachycardia, ventricular…

Machine Learning · Computer Science 2022-06-13 Ashkan Parsi

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…

Atrial fibrillation (AF) is a leading cause of stroke and mortality, particularly in elderly patients. Wrist-worn photoplethysmography (PPG) enables non-invasive, continuous rhythm monitoring, yet suffers from significant vulnerability to…

Machine Learning · Computer Science 2025-11-04 Yangyang Zhao , Matti Kaisti , Olli Lahdenoja , Tero Koivisto

Atrial Fibrillation is a heart condition characterized by erratic heart rhythms caused by chaotic propagation of electrical impulses in the atria, leading to numerous health complications. State-of-the-art models employ complex algorithms…

Quantitative Methods · Quantitative Biology 2019-12-02 Paul Samuel Ignacio , David Uminsky , Christopher Dunstan , Esteban Escobar , Luke Trujillo

Heart rate variability (HRV) indices describe properties of interbeat intervals in electrocardiogram (ECG). Usually HRV is measured exclusively in normal sinus rhythm (NSR) excluding any form of paroxysmal rhythm. Atrial fibrillation (AF)…

Applications · Statistics 2023-08-28 Nikita Markov , Ilya Kotov , Konstantin Ushenin , Yakov Bozhko

Arrhythmias are irregularities in the hearts electrical system which cause rapid and irregular heartbeats. These heart conditions affect over 33 million people globally and significantly increase the risk of severe complications, including…

Signal Processing · Electrical Eng. & Systems 2024-10-29 Praveen Kumar Pandian Shanmuganathan , Vatsal Sivaratri

Atrial fibrillation (AF) is a leading cause of morbidity and mortality. AF prevalence increases with age, which is attributed to pathophysiological changes that aid AF initiation and perpetuation. Current state-of-the-art models are only…

Tissues and Organs · Quantitative Biology 2015-10-05 Julie Eatock , Yen Ting Lin , Eugene T. Y. Chang , Tobias Galla , Richard H. Clayton

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease that appears between the second and forth decade of a patient's life, being responsible for 20% of sudden cardiac deaths before the age of 35. The…

Signal Processing · Electrical Eng. & Systems 2022-09-07 Vasileios E. Papageorgiou , Thomas Zegkos , Georgios Efthimiadis , George Tsaklidis

Atrial fibrillation is a heart rhythm disorder that affects tens of millions people worldwide. The most effective treatment is catheter ablation. This involves irreversible heating of abnormal cardiac tissue facilitated by electroanatomical…

Medical Physics · Physics 2022-11-01 Jiyue He , Arkady Pertsov , Sanjay Dixit , Katie Walsh , Eric Toolan , Rahul Mangharam

Structural heart disease (SHD) is a prevalent condition with many undiagnosed cases, and early detection is often limited by the high cost and accessibility constraints of echocardiography (ECHO). Recent studies show that artificial…

Applications · Statistics 2026-03-04 Ya Zhou , Zhaohong Sun , Tianxiang Hao , Xiangjie Li

Cardiovascular diseases (CVDs) are the number one cause of death worldwide. While there is growing evidence that the atrial fibrillation (AF) has strong associations with various CVDs, this heart arrhythmia is usually diagnosed using…

Systems and Control · Electrical Eng. & Systems 2022-07-13 Wei-Ying Yi , Peng-Fei Liu , Sheung-Lai Lo , Ya-Fen Chan , Yu Zhou , Yee Leung , Kam-Sang Woo , Alex Pui-Wai Lee , Jia-Min Chen , Kwong-Sak Leung

Electrocardiogram (ECG) signal is a common and powerful tool to study heart function and diagnose several abnormal arrhythmias. While there have been remarkable improvements in cardiac arrhythmia classification methods, they still cannot…

Quantitative Methods · Quantitative Biology 2019-03-14 Sajad Mousavi , Fatemeh Afghah , U. Rajendra Acharya

Atrial fibrillation (AF) increases the risk of stroke by a factor of four to five and is the most common abnormal heart rhythm. The progression of AF with age, from short self-terminating episodes to persistence, varies between individuals…

Tissues and Organs · Quantitative Biology 2016-10-12 Kishan A. Manani , Kim Christensen , Nicholas S. Peters
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