Latest AI and machine learning research in arrhythmias for healthcare professionals.
Premature ventricular contraction (PVC) is a common cardiac arrhythmia, and its timely and automated...
BACKGROUND: Pulmonary vein (PV) isolation is a well-established treatment for atrial fibrillation (A...
AIMS: Periodic cardiac MRI (CMR) is recommended to identify adverse ventricular remodelling in repai...
Accurate and timely stroke-risk prediction is necessary to help patients at risk take guided measure...
In ECG classification applications, binarized convolutional neural networks (bCNNs) show great poten...
The human ether-a-go-go-related gene (hERG) encodes a voltage-gated potassium channel essential for ...
Cardiac arrhythmia poses an important threat to human life; hence it is an urge to diagnose properly...
Deep Learning (DL) models excel at automatically learning intricate patterns within complex data, bu...
BACKGROUND: A regression model to estimate the duration from the onset of resuscitation efforts to t...
BACKGROUND: Electrocardiogram (ECG) data constitutes one of the most widely available biosignal data...
OBJECTIVE: The digitization of paper electrocardiograms (ECGs) faces several challenges, including a...
BACKGROUND: The current gold standard for the diagnosis of coronary artery disease (CAD) is invasive...
BACKGROUND AND AIMS: Pulsed field ablation (PFA) has emerged to an innovative approach to achieve pu...
Speaker identification remains critical in biometric authentication systems, requiring robust featur...
Accurate, low-latency traffic forecasting is a cornerstone capability for next-generation Intelligen...
PURPOSE: Reflex bradyarrhythmias and syncope related to excessive vagal tone may be refractory to co...
BACKGROUND: Wolff-Parkinson-White (WPW) syndrome is characterised by accessory pathways that bypass ...
BACKGROUND AND AIMS: The 12-lead electrocardiogram (ECG) remains a cornerstone of cardiac diagnostic...
INTRODUCTION: Sudden cardiac death (SCD) remains a major cause of mortality despite substantial prog...
The detection of arrhythmias is crucial in monitoring cardiac health. However, electrocardiogram (EC...
Electrocardiograms (ECGs) play a crucial role in diagnosing heart conditions; however, the effective...