M.Sc. Tezi Görüntüleme

      Early detecetion of ST segment’s depression or elevation is very important for prevention of myocardial ischemia and it is very important to prevent a myocardial infarction that may occur in the future. In the thesis study, methods based on time-frequency transforms have been developed in order to early detection of ST segment’s depressions or elevations in the ECG R-R interval. In the first phase of the thesis study; a class was formed from RR intervals with healthy and arrhythmia and the other class was formed from RR intervals with ST segment changes. In the second phase; R-R intervals with arrhythmia, healthy, ST segment depression and ST segment elevation were selected to be four classes.

      Key Words: Electrocardiogram (ECG), ST Segment Changes, Myocardial infarction, Time- Frequency Transforms, Pattern Recognition.