Latest AI and machine learning research in arrhythmias for healthcare professionals.
Early Diagnosis of Cardiovascular disease (CVD) is essential to prevent a person from death in case ...
BACKGROUND & AIMS: Accurate prediction of disease severity and prognosis are challenging in patients...
Interstitial cells of Cajal (ICCs), pacemaker and neuromodulator cells in the gastrointestinal (GI) ...
BACKGROUND: Left ventricular diastolic dysfunction (LVDD) predicts mortality in patients in cardiac ...
BACKGROUND: Amiodarone treatment requires repeated laboratory evaluations of thyroid and liver funct...
The limited availability of labeled ECG data restricts the application of supervised deep learning m...
Cardiovascular disease (CAD) is a major global public health issue, with mortality rates being signi...
To enhance the diagnostic accuracy of new nodules on the surgical side after breast cancer surgery ...
Adhesive epidermal hydrogel electrodes are essential for achieving robust signal transduction and ca...
Although pulmonary vein isolation (PVI) has become the cornerstone ablation procedure for atrial fib...
This paper explores the potential of transformer-based foundation models to detect Atrial Fibrillati...
The work proposes a methodology for five different classes of ECG signals. The methodology utilises ...
BACKGROUND AND OBJECTIVES: The massive storage of cardiac arrhythmic episodes from Implantable Cardi...
We propose a robot-assisted method to generate spherical thermal lesions by high-intensity focused u...
Cardiac rhythm disorders can manifest in various ways, such as the heart rate being too fast (tachyc...
The detection and classification of arrhythmia play a vital role in the diagnosis and management of ...
BACKGROUND: Atrial fibrillation (AF) is a prevalent arrhythmia associated with significant morbidity...
Deep neural network (DNN) models have shown remarkable success in many real-world scenarios, such as...
This work proposes a classification system for arrhythmias, aiming to enhance the efficiency of the ...
Developments in ambulatory electrocardiogram (ECG) technology have led to vast amounts of ECG data t...
BACKGROUND: Although catheter ablation (CA) is currently the most effective clinical treatment for a...