Extraction of Unwanted Noise in Electrocardiogram (ECG) Signals Using Discrete Wavelet Transformation
The electrocardiogram (ECG) is an invaluable tool for diagnosis of heart diseases. Electrocardiogram is used to measure the rate and regularity of heartbeats to detect any irregularity to the heart. The spectral distribution of energy varies between normal ECGs and those from patients post infarct or with ventricular hypertrophies. This suggests that discriminating between normal and abnormal conditions may be possible on the basis of differences in the distribution of spectral energy. The electrocardiogram signal contains an important amount of information that can be exploited in different manners. For the purpose of quality diagnosis, the ECG signal must be clearly de-noised to remove all noises. Major interest of this recent paper presents a method for De-noising the noisy real ECG signal using wavelet transform. The determination of the wavelet transform and the choice of Thresholding parameters are considered.