Latest AI and machine learning research in arrhythmias for healthcare professionals.
Tracking the fluctuations in blood glucose levels is important for healthy subjects and crucial diab...
Automatic or semi-automatic analysis of the equine electrocardiogram (eECG) is currently not possibl...
This study proposes a deep learning model that effectively suppresses the false alarms in the intens...
PURPOSE: Indwelling urinary catheters are commonly inserted when administering general anesthesia. H...
BACKGROUND: Initiation of the antiarrhythmic medication dofetilide requires an FDA-mandated 3 days o...
Local resection or ablation remains an important approach to treat drug-resistant central neurologic...
The objectives of this study were to determine the plasma profile of equine chorionic gonadotropin (...
BACKGROUND: Different subtypes of ischemic stroke may have different risk factors, clinical features...
Artificial neural network (ANN) and its variants are favored algorithm in designing cardiac arrhythm...
In patients with cryptogenic stroke, the detection of atrial fibrillation (AF) is important, since i...
BACKGROUND: The electrocardiogram (ECG) has been widely used in the diagnosis of heart disease such ...
Timely prediction of cardiovascular diseases with the help of a computer-aided diagnosis system mini...
Radiofrequency ablation (RFA) is a popular modality for tumor treatment. However, inexpensive real-t...
INTRODUCTION: The electrocardiogram (ECG) plays an important role in the diagnosis of heart diseases...
BACKGROUND: A deep learning algorithm to detect low ejection fraction (EF) using routine 12-lead ele...
Motion artifacts and myoelectrical noise are common issues complicating the collection and processin...
The ability to identify reliable and sensitive physiological signatures of psychological dimensions ...
BACKGROUND AND OBJECTIVE: Myocardial infarction (MI) is one of the most threatening cardiovascular d...
Recently, researchers in the area of biosensor based human emotion recognition have used different t...
To reduce the high mortality rate from cardiovascular disease (CVD), the electrocardiogram (ECG) bea...
This paper presents a novel deep learning framework for the inter-patient electrocardiogram (ECG) he...