Latest AI and machine learning research in arrhythmias for healthcare professionals.
Automated interpretation of the 12-lead ECG has remained an underpinning interest in decades of rese...
Sleep Apnea is a breathing disorder occurring during sleep. Older people suffer most from this disea...
Subcutaneous Implantable Cardioverter-Defibrillators (S-ICDs) are used for prevention of sudden card...
Stress appears as a response for a broad variety of physiological stimuli. It does vary among indivi...
Atrial fibrillation (AF) is the most common cardiovascular disease (CVD), and most existing algorith...
For the clinical assessment of cardiac vitality, time-continuous tomographic imaging of the heart is...
Undiagnosed dilated cardiomyopathy (DC) can be asymptomatic or present as sudden cardiac death, ther...
Affective computing is a field of study that integrates human affects and emotions with artificial i...
OBJECTIVES: Embolic strokes of unknown source (ESUS) are common and often suspected to be caused by ...
Background and objectiveDetecting abnormal patterns within an electrocardiogram (ECG) is crucial for...
As a widely used vital sign within cardiology, Electrocardiography (ECG) provides the basis for asse...
Magnetoencephalography (MEG) is a functional neuroimaging tool that records the magnetic fields indu...
While laser ablation has become an increasingly important tool in the neurosurgical oncologist's arm...
Background and Objective Electrocardiogram (ECG) quality assessment is significant for automatic dia...
Arrhythmia management has been revolutionized by the ability to monitor the cardiac rhythm in a pati...
The presence of left ventricular systolic dysfunction (LVSD) alters clinical management and prognosi...
This study presents and evaluates the mathematical model to estimate the mean and variance of single...
In this study, we conducted a comparative analysis of deep convolutional neural network (CNN) models...
The pulse arrival time (PAT), the difference between the R-peak time of electrocardiogram (ECG) sign...
BACKGROUND: Early detection and intervention is the cornerstone for appropriate treatment of arrhyth...
Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with increased morbidity...