Abstract
In biomedical signal processing, Power Line Interference (50Hz) is one of the most and commonly types of electrical noises that often corrupt the quality of a biomedical data. In this paper, we present a simple tool for ECG signal enhancement approach based on Power Line Interference (PLI) reduction algorithm in Undecimated Wavelet Transform and Interval Thresholding. In our scheme, we use the Undecimated Wavelet Transform (UWT) to overcome the limitations of Discrete Wavelet Transform (DWT) and we present a novel thresholding technique called Interval Thresholding (IT) to overcome the shortcomings of classical thresholding approaches. This method is evaluated on a set of real normal and abnormal ECG recordings from MIT-BIH Arrhythmia database. The results demonstrates that our proposed method gives a better Signal to Noise Ratio improvement (SNR imp ) and Higher Cross Correlation coefficient (CC) than four classical ECG denoising approaches such as Notch filter, Wavelet shrinkage, EMD based subtraction and EMD-Wavelet methods.
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