Simulation Based R-peak and QRS complex detection in ECG Signal

ECG is the graphical recording of the electrical activity of the heart used for clinical diagnosis. The project has been devised to find a method for ECG signal analysis which is simple and has good accuracy and takes less computation time. The initial task for efficient analysis is the removal of noise. It involves the extraction of the required cardiac components by rejecting the background noise. The ECG signal is very sensitive in nature, and even if small noise is mixed with original signal, the various characteristics of the signal changes. The signal voltage level is as low as 0.5 to 5mV and the frequency components fall in the range of 0.05 to 100Hz. As far as the noise is concerned the muscle movements, main current and ambient electromagnetic interference generate it. Hence filtering remains an important issue, as data corrupted with noise must either be filtered or discarded. The characteristics of the components of the ECG signal P, Q, R, S and T determine the clinical status of the activity of the heart. Detection of R wave in heart signal is easier than other portions of ECG signal due to its structural form and high amplitude. This paper discusses R-peak and QRS complex detection in ECG signal processing.