Analysis and monitoring of ElectroCardioGram (ECG) gives information about the activities of the heart. Phenomena such as ECG contraction movement of body, respiration, power line interference, high frequency interference generate noise in signaling, which restricts the extraction of information from generated signal. For de-noising of ECG, wavelet transform technique has been implemented. ECG signal sampled at 500 Hz is taken as an input signal which has to be de-noised using Discrete Wavelet Transform (DWT) technique. In this paper, we have decomposed the ECG signal up to the level three and then threshold the signal. The ECG signals with noise and without noise have been plotted. The de-noised ECG signal give better clearity as compared to noisy one that would help the experts to diagnose the patient in better ways. The simulation of the results is done with the help of MATLAB.

Full text: IJEIR-405 Final N.pdf