title: Rule-based Method for Extent and Localization of Myocardial Infarction by Extracted Features of ECG Signals using Body Surface Potential Map Data.
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.
authors.affiliation: Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
authors.forename: Naser
authors.initials: N
authors.lastname: Safdarian
authors.affiliation: Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
authors.forename: Nader Jafarnia
authors.initials: NJ
authors.lastname: Dabanloo
authors.affiliation: Interventional and Consultant Cardiologist, Mehr General Hospital, Tehran, Iran.
authors.forename: Seyed Ali
authors.initials: SA
authors.lastname: Matini
authors.affiliation: Biomedical Engineering Faculty, Shahed University, Tehran, Iran.
authors.forename: Ali Motie
authors.initials: AM
authors.lastname: Nasrabadi
keywords: Body surface potential map data; electrocardiogram signal processing; electrocardiogram signals; feature extraction; myocardial infarction