Teltonika IoT Group is a high-tech company that helps its subsidiaries grow and create unique IoT devices for the global market. They promote a…
Browsing: Atrial Fibrillation
This article discusses the heritability of left atrial (LA) structure and function and its association with atrial fibrillation (AF), stroke, and heart failure. The…
A deep learning model using transthoracic echocardiograms (TTEs) can accurately predict patients with active or occult atrial fibrillation (AF). The model was trained on…
A new artificial intelligence approach developed by investigators in Cedars-Sinai’s Los Angeles-based Smidt Heart Institute has been shown to detect abnormal heart rhythms associated…
This article presents a framework for predicting the occurrence of atrial fibrillation (AF) using a single-lead ECG obtained from a chest patch. The framework…
This article presents a new Holter monitoring database from patients with paroxysmal atrial fibrillation (AF). The database consists of 167 records from 152 patients,…
This study quantified known and novel biomarkers for atrial fibrillation (AF) in a cohort of multi-ethnic patients with cardiovascular conditions. A modified Delphi process…
This article discusses the use of deep learning in single-lead atrial fibrillation detection approaches. It explains how convolutional recurrent neural networks and convolutional neural…