Classification of Cardiac Signals in Order to Diagnose Myocardial Infarction based on Extraction of Morphological Features from Spatio-Temporal Patterns of Vectorcardiogram Signals

Background: One of the most common cardiovascular diseases (CVDs) in the world is myocardial infarction (MI). By analyzing electrocardiogram and vectorcardiography (VCG) signals, it is possible to identify and characterize heart diseases such as MI. One of the new methods of detection is the use of...

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Bibliographic Details
Published in:	مجله دانشکده پزشکی اصفهان
Main Authors:	Nastaran Jafari-Hafshejani, Alireza mehri Mehri-Dehnavi, Reza Hajian, Shabnam Boudagh, Mohaddeseh Behjati
Format:	Article
Language:	Persian
Published:	Isfahan University of Medical Sciences 2020-01-01
Subjects:	myocardial infarction electrocardiography vectorcardiography wavelet transform neural network models
Online Access:	http://jims.mui.ac.ir/index.php/jims/article/view/12390

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