ECG signal analysis for detection of Heart Rate and Ischemic Episodes

Electrocardiogram (ECG) is generally used for diagnosis of cardio vascular abnormalities and disorders . An efficient method for analysing the ECG signal towards the detection of h eart r ate ( HR ) and i schemic episodes foll ows mainly f ive stages: p re - processing, feature extraction, heart rate detection, beat classification an d ischemic episode recognition. The h eart rate is calculated using the extracted features of the ECG signal . The calculated HR value can be analysed for the detection of various cardiovascular abnormalities. The ability of the method was validated on European ST - T database. The performance of ischemic episode detection shows 88. 08 % sensitivity (Se) and 92.42% positive predictive accuracy (PPA).