Evaluating morphological features of electrocardiogram signals for diagnosing of myocardial infarction using classification-based feature selection

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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Bibliographic Details
Main Authors: Seyed Ataddin Mahmoudinejad, Naser Safdarian
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
biological signal processing
classification
cross-validation
electrocardiography
feature selection
linear support vector machine
myocardial infarction
simple tree
weighted k-nearest neighbor
Online Access:http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2021;volume=11;issue=2;spage=79;epage=91;aulast=Mahmoudinejad

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http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2021;volume=11;issue=2;spage=79;epage=91;aulast=Mahmoudinejad

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