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 ...
IEEE

A Deep Learning-Based Ultra-Lightweight Architecture for Atrial Fibrillation Detection Using Single-Lead ECG Recordings

Abstract: Atrial fibrillation (A-Fib), a common cardiac arrhythmia, is linked to serious complications like heart failure and stroke, which early diagnosis could prevent. However, its paroxysmal and ...
Medical Design and Outsourcing

The importance of ADCs in low-power electrocardiography ASICs

Electrocardiography (ECG) plays a central role in both diagnostic and ongoing health monitoring. This is especially true for wearable and implantable medical devices as they become more mainstream. As ...