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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2021-01-01
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| Series: | Journal of Medical Signals and Sensors |
| Subjects: | |
| Online Access: | http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2021;volume=11;issue=2;spage=79;epage=91;aulast=Mahmoudinejad |