Myocardial infarction detection system from PTB diagnostic ECG database using Fuzzy inference system for S-T waves

Abstract

Heart disease was the one of major health problem in the world, which caused many deaths. Myocardial infarction (MI) is one type of heart disease which caused by a blockage in the coronary arteries. This disease could be detected by reading electrocardiogram (ECG) wave result. Knowledge and expert analysis were required to read PQRST-wave in Electrocardiograms. Fuzzy inference system was used in this detection system because it flexibility on linguistic variables. Fuzzy inference system could be performed after discovery S and T peaks. The characteristics of Myocardial Infarction could be seen through the condition of S and T wave. Detection system test was conducted on databases that obtained from Physionet bank, Physikalisch-Technische Bundesanstalt (PTB) diagnostic ECG database that were collected from 52 healthy patients and 148 diagnosed MI patients. The result of this research showed that test of detection system had sensitivity level of 73%.