The investigation of the ECG has been extensively used for diagnosing many cardiac diseases. The ECG is a realistic record of the direction and magnitude of the electrical commotion that is generated by depolarization and re-polarization of the atria and ventricles. The majority of the clinically useful information in the ECG is originated in the intervals and amplitudes defined by its features (characteristic wave peaks and time durations). The improvement of precise and rapid methods for automatic ECG feature extraction is of chief importance, particularly for the examination of long recordings. In this project we will implement a system which will firstly extract the characteristics of ECG and on basis of that we will find the location and amplitude of details of ECG signal so that we can find the problem that cause to patient we will have ECG signal from static database of patients.