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

مجله دانشکده پزشکی اصفهان

Shabnam Boudagh¹  Mohaddeseh Behjati²  Reza Hajian³  Nastaran Jafari-Hafshejani⁴  Alireza mehri Mehri-Dehnavi⁵ 

[1] Assistant Professor, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran;Cardiologist, Echocardiography Fellowship, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran;Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran;MSc Student, Department of Biomedical Engineering, School of Advanced Medical Technology, Isfahan University of Medical Sciences, Isfahan, Iran;Professor, Department of Biomedical Engineering, School of Advanced Medical Technology AND Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran;

关键词: myocardial infarction;    electrocardiography;    vectorcardiography;    wavelet transform;    neural network models;   

DOI  :  10.22122/jims.v37i548.12390

来源: DOAJ

【 授权许可】

Unknown