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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 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

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

Ventricular Fibrillation (VF), one of the most dangerous arrhythmias, is responsible for sudden cardiac arrests. Thus, various algorithms have been developed to predict VF from Electrocardiogram (ECG), which is a binary classification…

Machine Learning · Computer Science 2019-03-13 Nabil Ibtehaz , M. Saifur Rahman , M. Sohel Rahman

Cardiovascular diseases state as one of the greatest risks of death for the general population. Late detection in heart diseases highly conditions the chances of survival for patients. Age, sex, cholesterol level, sugar level, heart rate,…

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

Remote patient monitoring based on wearable single-lead electrocardiogram (ECG) devices has significant potential for enabling the early detection of heart disease, especially in combination with artificial intelligence (AI) approaches for…

Signal Processing · Electrical Eng. & Systems 2024-04-30 Aruna Mohan , Danne Elbers , Or Zilbershot , Fatemeh Afghah , David Vorchheimer

Atrial Fibrillation is a common form of irregular heart rhythm that can be very dangerous. Our primary goal is to analyze Atrial Fibrillation data within ECGs to develop a model based only on RR-Intervals, or the length between heart-beats,…

Quantitative Methods · Quantitative Biology 2023-02-16 Georgia Smith , Yishi Wang

Cardiovascular diseases (CVDs) encompass a group of disorders affecting the heart and blood vessels, including conditions such as coronary artery disease, heart failure, stroke, and hypertension. In cardiovascular diseases, heart failure is…

Artificial Intelligence · Computer Science 2024-07-12 Ershadul Haque , Manoranjan Paul , Faranak Tohidi

Cardiovascular diseases are a pervasive global health concern, contributing significantly to morbidity and mortality rates worldwide. Among these conditions, arrhythmia, characterized by irregular heart rhythms, presents formidable…

Signal Processing · Electrical Eng. & Systems 2024-04-25 Bhavith Chandra Challagundla

Atrial arrhythmia can be categorized into tachycardia, flutter, and fibrillation. Atrial fibrillation is a prevalent heart disease that results in weak and irregular contractions of the atria. It affects millions people worldwide and…

Medical Physics · Physics 2024-02-01 Jiyue He

Arrhythmia is a common cardiac condition that can precipitate severe complications without timely intervention. While continuous monitoring is essential for timely diagnosis, conventional approaches such as electrocardiogram and wearable…

Human-Computer Interaction · Computer Science 2025-08-05 Arjun Kumar , Noppanat Wadlom , Jaeheon Kwak , Si-Hyuck Kang , Insik Shin

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 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

Shockable rhythms, namely ventricular fibrillation and ventricular tachycardia, are the main cause of sudden cardiac arrests, which can be detected quickly by the automated external defibrillator (AED) devices. In this paper, a simple but…

Signal Processing · Electrical Eng. & Systems 2021-09-28 Dao Thanh Hai , Nguyen Minh Tuan , Nguyen Thi Thu Hang , Le Hai Chau

We present algorithms for the detection of a class of heart arrhythmias with the goal of eventual adoption by practicing cardiologists. In clinical practice, detection is based on a small number of meaningful features extracted from the…

Machine Learning · Statistics 2016-07-14 Choudur Lakshminarayan , Tony Basil

Ventricular fibrillation, the major reason behind sudden cardiac death, is turbulent cardiac electrical activity in which rapid, irregular disturbances in the spatiotemporal electrical activation of the heart makes it incapable of any…

Chaotic Dynamics · Physics 2009-11-07 Sitabhra Sinha , Ashwin Pande , Rahul Pandit

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

Background. Different mechanisms have been proposed to relate atrial fibrillation (AF) and coronary flow impairment, even in absence of relevant coronary artery disease (CAD). However, the underlying hemodynamics remains unclear. Aim of the…

Medical Physics · Physics 2019-04-17 Stefania Scarsoglio , Caterina Gallo , Andrea Saglietto , Luca Ridolfi , Matteo Anselmino

The oscillations of the human heart rate are inherently complex and non-linear -- they are best described by mathematical chaos, and they present a challenge when applied to the practical domain of cardiovascular health monitoring in…

Machine Learning · Computer Science 2025-11-03 Berken Utku Demirel , Christian Holz