Rule Based Method for Extent and Localization Detection of Myocardial Infarction by Extracted Features of ECG Signals Using Body Surface Potential Map Data

naser safdarian, Nader Jafarnia Dabanloo, Seyed Ali Matini, Ali Motie Nasrabadi



In this study, a method for determining the location and extent of myocardial infarction using Body Surface Potential Map data that is obtained from PhysioNet challenge 2007 database has been suggested. This data is related to four patients with myocardial infarction that we used from two patients as training set to determine rules, and from two other patients for testing set and the conclusion 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 with definition and application of several rules and threshold levels for those features, areas that are with myocardial infarction and their extent were diagnosed. To determine the precise location and extent of myocardial infarction, 17-segments standard model of left ventricle was used. Finally, overall accuracy of this method that expressed with SO parameter, CED parameter and EPD parameter was obtained to 1.16, 1 and 5.3952 respectively for two patients in test set. Two main advantages of this method are simplicity and high accuracy.


ECG Signals, ECG Signal Processing, Feature Extraction, Myocardial Infarction, Body Surface Potential Map Data

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