Abstract: An electrocardiogram ECG signal of the human heart shows the reflection the cardiac health by any of the disorder in heart rhythm, change in the morphological pattern of ECG signal. Accurate analysis of ECG signals becomes difficult if it is corrupted by noise during acquisition. Some primary source of noise are power line interference, external electromagnetic field interference, noise due to random body movements and respiration movements, electrode contact noise, electromyography (EMG) noise, and instrumentation noise. In this paper, 20 ECG signal is taken from standard MIT-BIH Arrhythmia database and Flicker noise is generated and added with original ECG signals which corrupt the signal. Noisy ECG signals is Filtered using different Wavelet function and different thresholding methods. Quantitative measurement has been done based on Signal to Noise Ratio (SNR).
Keywords: ECG, Flicker, SNR, Wavelet.