Distinguishing Normal and Abnormal ECG Signal

The problem of the heart are normally monitored by ECG. ECG waveform comes in the slope of P-Q-R-Spattern. Q-R-S is the most critical part of the waveform. In this study of ECG signals and examination of different conditions, two must required parameters are Q-R-S duration and heart rate. Abnormal condition results in artificial arrhythmia in which there will be a remarkable change in these parameters. The aim of this work is to determine whether arrhythmia exist are not. Extraction of Q-R-S complex is done by Pan–Tompkins algorithm. ECG signal is made to pass through a LPF and HPF filters. There the signal is made to pass through derivation squaring, integration to compare it with a set of slopes case of abnormality are studied. Thus, the method serves as easy technique for studying cardiac abnormality.