Latest AI and machine learning research in arrhythmias for healthcare professionals.
The aim of this study is to develop an automated deep-learning-based whole heart segmentation of ECG...
The electrocardiogram (ECG) is the most commonly used exam for the evaluation of cardiovascular dise...
BACKGROUND: There is no established screening approach for hypertrophic cardiomyopathy (HCM). We rec...
One of the most powerful techniques to diagnose cardiovascular diseases is to analyze the electrocar...
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...