Latest AI and machine learning research in arrhythmias for healthcare professionals.
The abnormal heart conduction, known as arrhythmia, can contribute to cardiac diseases that carry th...
Inherited arrhythmia disorders account for a significant proportion of sudden cardiac death, particu...
BACKGROUND: Electrocardiograms (ECG) are an important source of information on human heart health an...
Sleep apnoea is a common disorder affecting sleep quality by obstructing the respiratory airway. Thi...
ECG classification or heartbeat classification is an extremely valuable tool in cardiology. Deep lea...
The suprachiasmatic nucleus (SCN) is the mammalian central circadian pacemaker with heterogeneous ne...
BACKGROUND AND OBJECTIVE: Current automatic electrocardiogram (ECG) diagnostic systems could provide...
Biological age may be a more valuable predictor of morbidity and mortality than a person's chronolog...
Myocardial infarction (MI) is a common cardiovascular disease caused by the blockages of coronary ar...
BACKGROUND: Convolutional neural networks (CNNs) have emerged as a novel method for evaluating heart...
The efficacy of convolutional neural network (CNN)-enhanced electrocardiography (ECG) in detecting h...
Myocardial scar (MS) and left ventricular ejection fraction (LVEF) are vital cardiovascular paramete...
Research of novel biosignal modalities with application to remote patient monitoring is a subject of...
Thoracic aorta calcium (TAC) can be assessed from cardiac computed tomography (CT) studies to improv...
BACKGROUND: In the field of mobile health, portable dynamic electrocardiogram (ECG) monitoring devic...
Background We aim to determine which electrocardiogram (ECG) data format is optimal for ML modelling...
Digital surgery technologies, such as interventional robotics and sensor systems, not only improve p...
INTRODUCTION: Artificial intelligence (AI) ECG arrhythmia mapping provides arrhythmia source localiz...
Myocardial infarction (MI) is a prevalent cardiovascular disease that contributes to global mortalit...
PURPOSE: Electrocardiogram (ECG) data obtained from 12 leads are the most common and informative sou...
Prediction of major arrhythmic events (MAEs) in dilated cardiomyopathy represents an unmet clinical ...