Detection and Localization of Myocardial Infarction using Body Surface Potential Map Data

Gholamreza Attarodi, Nader Jafarnia Dabanloo, Naser Safdarian, and Seyed Ali Matini


ECG, Myocardial Infarction, Body Surface Potential


In this study, a method for determining the location of myocardial infarction using BSPM data that is obtained from PhysioNet challenge 2007 database has been suggested. This data is related to the four patients with MI 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 and R-wave amplitude as tow feature of ECG signals were extracted. Then with definition and applying several rules and threshold levels for those features, areas that are with MI were diagnosed. In this study to determine the precise location of MI, 17-segments standard model of left ventricle (LV) was used. Finally, overall accuracy of this method that expressed with SO parameter (this number between zero and one, whatever amount is more the proposed method is more accurate) was obtained to 0.94 for two patients in test set. The main advantage of this method is its simplicity.

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