An approach to impulsive noise suppression and background normalization of digitized electrocardiogram signals using mathematical morphological operators that incorporate the shape information for a signal is presented. A brief introduction to these nonlinear signal processing operators, as well as a detailed description of the algorithm, is presented. Empirical results show that the algorithm has good performance in impulsive noise suppression and background normalization.
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