IEEE

Time-Frequency Domain Modified Vision Transformer Model for Detection of Atrial Fibrillation using Multi-lead ECG Signals

Abstract: Atrial fibrillation (AF) based cardiac disease is interpreted based on the appearance of abnormal atrial activity and irregular inter-beat duration in the electrocardiogram (ECG) signal. The ...
IEEE

Prediction of Atrial Fibrillation using XGBoost and Smartphone PPG Data with ECG Based Model

Abstract: Atrial fibrillation (AFIB) is one example of cardiac arrhythmias indicated by abnormal heart rhythms that can lead to serious health problems, including heart attack and stroke. One of the ...
BMJ Open

Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...