作者: NaderJafarnia Dabanloo , Naser Safdarian , SeyedAli Matini , AliMotie Nasrabadi
关键词: Test set 、 Pattern recognition 、 Myocardial infarction 、 Mathematics 、 Medical emergency 、 Artificial intelligence 、 Set (abstract data type) 、 Rule-based system 、 Ecg signal 、 Amplitude 、 Feature extraction 、 Body surface
摘要: 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 related to four patients with we used two as training set determine rules, other testing conclusion proposed model. First T-wave amplitude, integral, Q-wave amplitude R-wave features ECG signals were extracted. Then definition application several rules threshold levels those features, areas are their diagnosed. To precise infarction, 17-segments standard model left ventricle was used. Finally, overall accuracy expressed SO parameter, CED parameter EPD 1.16, 1 5.3952 respectively in test set. Two main advantages simplicity high accuracy.