Can the application of certain music information retrieval methods contribute to the machine learning classification of electrocardiographic signals?-Reference-Cited by-同舟云学术

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Can the application of certain music information retrieval methods contribute to the machine learning classification of electrocardiographic signals?

Published:2021-02 Issue:2 Volume:7 Page:e06257
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Idrobo-Ávila Ennio,Loaiza-Correa Humberto^ORCID,Vargas-Cañas Rubiel,Muñoz-Bolaños Flavio,van Noorden Leon

Funder

Colciencias

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference52 articles.

1. Biomedical Signal Analysis;Rangayyan,2015

2. Analysis and Application of Analog Electronic Circuits to Biomedical Instrumentation;Northrop,2012

3. The history, hotspots, and trends of electrocardiogram;Yang;J. Geriatr. Cardiol.,2015

4. Cardiovascular Diseases (CVDs);WHO,2017

5. The worldwide environment of cardiovascular disease: prevalence, diagnosis, therapy, and policy issues;Laslett;J. Am. Coll. Cardiol.,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Music Style Classification Based on Deep Learning;Computational and Mathematical Methods in Medicine;2022-01-18

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