Latest AI and machine learning research in arrhythmias for healthcare professionals.
Atrial fibrillation (AF) is a common cardiac disease that potentially leads to fatal conditions. Mac...
This paper presents a novel approach to noninvasive hyperglycemia monitoring utilizing electrocardio...
This paper presents an innovative approach to recognizing personality traits using deep learning (DL...
Atrial Fibrillation (AFib) represents a prevalent cardiac arrhythmia associated with substantial ris...
While pre-trained neural networks, e.g., for diagnosis from electrocardiograms (ECGs), are already a...
Common artefacts such as baseline drift, rescaling, and noise critically limit the performance of ma...
The classification algorithms of rhythm and morphology abnormalities in electrocardiogram (ECG) sign...
Wearable cardiac monitors can be used to detect potential heart attack by syncing with smartphone ap...
Reducing electrophysiological (EP) signal noise is essential for diagnosis, mapping, and ablation, y...
Robotic catheters enable precise steering of their distal tip while inside the body's blood vessels,...
Today's mechanical tools for bone cutting (osteotomy) cause mechanical trauma that prolongs the he...
Purpose To use unsupervised machine learning to identify phenotypic clusters with increased risk of ...
Within the domain of cardiovascular diseases, arrhythmia is one of the leading anomalies causing sud...
AIMS: Pulmonary vein isolation (PVI) is the cornerstone of ablation for atrial fibrillation. Confirm...
IMPORTANCE: Congenital long QT syndrome (LQTS) is associated with syncope, ventricular arrhythmias, ...
Early diagnosis of abnormal electrocardiogram (ECG) signals can provide useful information for the p...
The electrocardiogram (ECG) is a widely used diagnostic tool for cardiovascular diseases. However, E...
Risk stratification models estimate the probabilities of adverse outcomes after cardiac surgical pro...
Comprehensive management approaches for patients with ischemic heart disease (IHD) are important aid...
We present the design and stability analysis of an adaptive neuro-fuzzy inference system (ANFIS)-bas...
BACKGROUND: Heart disease represents the leading cause of death globally. Timely diagnosis and treat...