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

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

Internet

http://jims.mui.ac.ir/index.php/jims/article/view/12390

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