سال انتشار: ۱۳۹۰
محل انتشار: نوزدهمین کنفرانس مهندسی برق ایران
تعداد صفحات: ۵
A. Heidarnejad – Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering
S.K Setarehdan –
VR Nafisi – Iranian Research Organization for Science and Technology
This paper presents a method for detecting Myocardial Infarction. one hundred subjects were selected from PTB database in which reason for admission of 50 people is myocardial infarction and 50 people is healthy control. In order to extract highfrequency components, signal averaging was applied to the signal with the aid of cross-correlation function. Averaged signal is then passed through a bandpass filter (150-250 Hz). Seven features were extracted from 7 different leads. A linear classifier was used in order to distinguish between patients and healthy people .The accuracy of the proposed method is 91% with 90% sensitivity and 92% specificity. Simplicity and speed of proposed method makes it useful in practical diagnosis.