Smartphones that can support and assist the screening of various cardiovascular diseases
are gaining popularity in recent years. The timely detection, diagnosis, and treatment of atrial …

Background: Atrial fibrillation (AF) is the most common tachyarrhythmia and associated with
a risk of stroke. The detection and diagnosis of AF represent a major clinical challenge due …

Cardio Vascular Diseases (CVDs) represent one of the main burden that affected world
population in the last and in the current decades. The early detection by means of wide …

This study was to assess the feasibility of using non-standardized single-lead
electrocardiogram (ECG) monitoring to automatically detect atrial fibrillation (AF) with special …

Atrial fibrillation (AFib) is the most common arrhythmia, and patients with AFib have a five
times higher risk for stroke. To develop an efficient and sustainable strategy for detecting …

The number of patients with cardiovascular diseases is rapidly increasing in the world. The
workload of existing clinicians is consequently increasing. However, the number of …

Atrial fibrillation is a common cardiac arrhythmia event, potentially leading to strokes and
thrombosis, diagnosable by means of an electrocardiographic (ECG) exam where the …

Real-time detection of atrial fibrillation (AFib) is made possible by the quality assessment via
a 1-D convolutional neural network (1D-CNN) in a processor of a photoplethysmography …

Background State-of-the-art automatic atrial fibrillation (AF) detection models trained on RR-
interval (RRI) features generally produce high performance on standard benchmark …

With the dramatic progress of wearable devices, continuous collection of single lead ECG
wave is able to be implemented in a comfortable fashion. Data mining on single lead ECG …