Bimodal classification algorithm for atrial fibrillation detection from m-health ECG recordings-Reference-Cited by-同舟云学术

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Bimodal classification algorithm for atrial fibrillation detection from m-health ECG recordings

Published:2019-01 Issue: Volume:104 Page:310-318
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Kruger Grant H.,Latchamsetty Rakesh,Langhals Nicholas B.,Yokokawa Miki,Chugh Aman,Morady Fred,Oral Hakan,Berenfeld Omer

Funder

Department of Biomedical Engineering at the University of Michigan

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference55 articles.

1. Mortality trends in patients diagnosed with first atrial fibrillation: a 21-year community-based study;Miyasaka;J. Am. Coll. Cardiol.,2007

2. Atrial fibrillation: diagnosis and treatment;Gutierrez;Am. Fam. Physician,2011

3. Contemporary management of atrial fibrillation: update on anticoagulation and invasive management strategies;Crandall;Mayo Clin. Proc.,2009

4. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study;Wolf;Stroke; A J. Cerebral Circul.,1991

5. Performance of stroke risk scores in older people with atrial fibrillation not taking warfarin: comparative cohort study from BAFTA trial;Hobbs;BMJ,2011

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