An ensemble of features based deep learning neural network for reduction of inappropriate atrial fibrillation detection in implantable cardiac monitors-Reference-Cited by-同舟云学术

An ensemble of features based deep learning neural network for reduction of inappropriate atrial fibrillation detection in implantable cardiac monitors

Published:2023-01 Issue:1 Volume:4 Page:51-58
ISSN:2666-5018
Container-title:Heart Rhythm O2
language:en
Short-container-title:Heart Rhythm O2

Author:

Sarkar Shantanu,Majumder Shubha^ORCID,Koehler Jodi L.,Landman Sean R.

Funder

Medtronic Inc

Medtronic

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference24 articles.

1. Use of an extended monitoring strategy in patients with problematic syncope;Krahn;Circulation,1999

2. Miniaturized Reveal LINQ insertable cardiac monitoring system: first-in-human experience;Pürerfellner;Heart Rhythm,2015

3. Detection of asymptomatic arrhythmias in unexplained syncope;Krahn;Am Heart J,2004

4. Use of implantable loop recorders in the diagnosis and management of syncope;Farwell;Eur Heart J,2004

5. Discerning the incidence of symptomatic and asymptomatic episodes of atrial fibrillation before and after catheter ablation (DISCERN AF): a prospective, multicenter study;Verma;JAMA Intern Med,2013

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