Inter- and intra-observer variability of visual fragmented QRS scoring in ischemic and non-ischemic cardiomyopathy-Reference-Cited by-同舟云学术

Inter- and intra-observer variability of visual fragmented QRS scoring in ischemic and non-ischemic cardiomyopathy

Published:2018-05 Issue:3 Volume:51 Page:549-554
ISSN:0022-0736
Container-title:Journal of Electrocardiology
language:en
Short-container-title:Journal of Electrocardiology

Author:

Vandenberk Bert,Robyns Tomas,Goovaerts Griet,Claeys Mathias,Helsen Frederik,Van Soest Sofie,Garweg Christophe,Ector Joris,Van Huffel Sabine,Willems Rik

Funder

European Community's Seventh Framework Program FP7: EU-CERT-ICD

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference26 articles.

1. Significance of a fragmented QRS complex versus a Q wave in patients with coronary artery disease;Das;Circulation,2006

2. Fragmented QRS on twelve-lead electrocardiogram predicts arrhythmic events in patients with ischemic and nonischemic cardiomyopathy;Das;Heart Rhythm,2010

3. Appearance of QRS fragmentation late after Mustard/Senning repair is associated with adverse outcome;Helsen;Heart,2017

4. Inferior and anterior QRS fragmentation have different prognostic value in patients who received an implantable defibrillator in primary prevention of sudden cardiac death;Vandenberk;Int J Cardiol,2017

5. Fragmented QRS for the prediction of sudden cardiac death: a meta-analysis;Rosengarten;Europace,2015

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