GENERATION AND COMPARISON OF ECG SIGNAL USING MATLAB

Abstract

The Scarcity of Experienced Doctors in rural areas is very common and hence the medical facility provided in rural areas is not better as compared to urban areas. This project emphasizes the heart diseases and studies the various different vital parameters of an ECG signal i.e. P, Q, QRS, S, T & U waves. In the Existing Methods like Probabilistic Models, McSharry’s Model, Wavelet Transform, the whole ECG signal was transmitted from rural areas to urban areas for diagnosis. ECG being a continuous signal the reception may be erroneous. This project proposes a novel method of retrieving vital parameters and regeneration of ECG signals from the retrieved vital parameters. The vital parameters can be retrieved after digitizing the continuous ECG signal. The decimal values of retrieved signals can be send to urban areas accurately. We also propose abnormality identification using auto & cross correlation, impulse response and step response methods. Experiments are carried out on various database carried from hospitals for validation of the proposed method. The results show that the proposed method is very effective and an efficient method for fast diagnosis of heart diseases.