Evaluation of handcrafted features and learned representations for the classification of arrhythmia and congestive heart failure in ECG
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference87 articles.
1. World health organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions;Kaptoge;Lancet Global Health,2019
2. Sudden cardiac death;Zipes,2000
3. Congestive heart failure and arrhythmias: therapeutic modalities;Singh;J. Cardiovasc. Electrophysiol.,1997
4. Biobehavioral variables and mortality or cardiac arrest in the Cardiac arrhythmia pilot study (CAPS);Ahern;Am. J. Cardiol.,1990
5. 2013 ACCF/AHA guideline for the management of heart failure: executive summary: a report of the American college of cardiology foundation/American heart association task force on practice guidelines;Yancy;J. Am. Coll. Cardiol.,2013
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