Abstract
The QRS complex of ECG signal represents the depolarization and repolarization activities in the cells of ventricle. Accurate informations of and are needed for automatic analysis of ECG waves. In this study, using the amount of change in the QRS complex voltage values and the distance from the , we determined the junction point from Q-wave to R-wave and the junction point from R-wave to S-wave. In the next step, using the integral calculation based on the connection point, we detected and . We use the PhysioNet QT database to evaluate the performances of the algorithm, and calculate the mean and standard deviation of the differences between onsets or offsets manually marked by cardiologists and those detected by the proposed algorithm. The experiment results show that standard deviations are under the tolerances accepted by expert physicians, and outperform the results obtained by the other algorithms.
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