Diagnosing Abnormal Electrocardiogram (ECG) via Deep Learning-Reference-Cited by-同舟云学术

Diagnosing Abnormal Electrocardiogram (ECG) via Deep Learning

Published:2020-02-26 Issue: Volume: Page:
ISSN:
Container-title:Practical Applications of Electrocardiogram
language:
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Author:

Gao Xin

Publisher

IntechOpen

Link

http://www.intechopen.com/download/pdf/66540

Reference42 articles.

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2. Anonymous. Professors in Stanford University of USA developed a new algorithm on diagnosing 13 types of arrhythmias. Journal of Practical Electrocardiology. 2017;26(4):246

3. Behzadi M, Joukar S, Beik A. Opioids and cardiac arrhythmia: a literature review. Medical Principles and Practice. 2018;27:401-414

4. Bravo-Valenzuela NJ, Rocha LA, Nardozza LMM, Júnior EA. Fetal cardiac arrhythmias: current evidence. Annals of Pediatric Cardiology. May-Aug 2018;11(2):148-163

5. Chen KM, Powers LS, Roveda JM. Noise-invariant component analysis for wearable sensor based electrocardiogram monitoring system. SM Journal of Biomedical Engineering. 2018;4(1):1025

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