Latest AI and machine learning research in arrhythmias for healthcare professionals.
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...
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to...
BACKGROUND: It is difficult to identify patients with atrial fibrillation (AF) most likely to respon...
Sleep apnea, a fatal sleep disorder causing repetitive respiratory cessation, requires immediate int...
Calcium ions (Ca) are crucial for various physiological processes, including neurotransmission and c...
Purpose Federated training is often challenging on heterogeneous datasets due to divergent data stor...
Electrocardiogram (ECG) signals are crucial in diagnosing cardiovascular diseases (CVDs). While wave...
The bidirectional interactions between brain and heart through autonomic nervous system is the prime...