International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)
30 Myocardial Infarction Classification Using Polynomial Approximation and Principal Component Analysis
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A rapid and accurate diagnosis in patients with acute myocardial infarction is vital, since expeditious reperfusion therapy can improve prognosis in most patients. Myocardial infarction occurred when the blood supply to part of the heart was interrupted. In ECG monitoring, ST segment means the change of electric potential in the period which from the end of ventricular depolarization to the origin of repolarization, therefore, in myocardial infarction, ST segment change is the only criterion by which a doctor can determine if myocardial ischemia has occurred in the heart. This study combines the advantages of polynomial approximation and principal component analysis. Polynomial approximation can describe the morphology of ST segment change by coefficients and principal component analysis can generate the significant features for classification. The accuracy achieves 98.07% and the proposed approach is stable for the 12-lead ECG collected from PTB database.