Author/Authors :
Safdarian، Naser نويسنده Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran , , Jafarnia Dabanloo، Nader نويسنده PhD,Assistantprofessor, Islamic Azad University of Science and Research branch, member of bioelectric engineering , , Matini، Seyed Ali نويسنده nterventional and Consultant Cardiologist, Mehr General Hospital, Tehran, Iran , , Motie Nasrabadi، Ali نويسنده Faculty of Engineering, Shahed University, Tehran, Iran ,
Abstract :
In this study, a method for determining the location and extent of myocardial infarction using Body Surface Potential Map data of
PhysioNet challenge 2007 database is presented. This data is related to four patients with myocardial infarction. We used two patients
as training set to determine rules and two other patients as testing set of the proposed model. First, T?wave amplitude, T?wave
integral, Q?wave amplitude and R?wave amplitude as four features of ECG signals were extracted. Then we defined several rules and
proper thresholds for localization and determining the extent of myocardial infarction. To determine the precise location and extent
of myocardial infarction, 17?segment standard model of left ventricle was used. Finally, overall accuracy of this method was shown
with SO, CED and EPD parameters. We obtained 1.16, 1 and 5.3952 for SO, CED and EPD, respectively, in our test data. Two main
advantages of this method are simplicity and high accuracy.
