Novel interpretable Feature set extraction and classification for accurate atrial fibrillation detection from ECGs-Reference-Cited by-同舟云学术

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Novel interpretable Feature set extraction and classification for accurate atrial fibrillation detection from ECGs

Published:2024-09 Issue: Volume:179 Page:108872
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Sharmin Ruhi,Brindise Melissa C.^ORCID,Kolliyil Jibin Joy,Meyers Brett A.^ORCID,Zhang Jiacheng^ORCID,Vlachos Pavlos P.^ORCID

Funder

Purdue University

Publisher

Elsevier BV

Reference57 articles.

1. Atrial Fibrillation Episodes Detection Based on Classification of Heart Rate Derived Features;Henzel,2017

2. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study;Wolf;Stroke,1991

3. Subclinical atrial fibrillation and the risk of stroke;Healey;N. Engl. J. Med.,2012

4. Incidence of stroke in paroxysmal versus sustained atrial fibrillation in patients taking oral anticoagulation or combined antiplatelet therapy: an ACTIVE W Substudy;Hohnloser;J. Am. Coll. Cardiol.,2007

5. Usefulness of continuous electrocardiographic monitoring for atrial fibrillation;Camm;Am. J. Cardiol.,2012

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