Evaluating Morphological Features of Electrocardiogram Signals for Diagnosing of Myocardial Infarction Using Classification-Based Feature Selection

BACKGROUND: Cardiovascular disease (CVD) is the first cause of world death, and myocardial infarction (MI) is one of the five primary disorders of CVDs which the patient electrocardiogram (ECG) analysis plays a dominant role in MI diagnosis. This research aims to evaluate some extracted features of...

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Detalles Bibliográficos
Autores principales: Mahmoudinejad, Seyed Ataddin, Safdarian, Naser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253315/
https://www.ncbi.nlm.nih.gov/pubmed/34268096
http://dx.doi.org/10.4103/jmss.JMSS_12_20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253315/
https://www.ncbi.nlm.nih.gov/pubmed/34268096
http://dx.doi.org/10.4103/jmss.JMSS_12_20

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