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The class of M-filters in the application of ECG signal processing

Pander T.

Biocybernetics and Biomedical Engineering

2006

Vol. 26, no. 4

3-13

The main purpose of this paper is to present some advantages of nonlinear filtering of biomedical signals. The nonlinear M-filters are considered in this paper to suppress specific kind of noise - an impulsive noise in high resolution ECG signal. The impulsive noise can be modeled by symmetric \alfa-stable distribution (S\alfaS). The following type of M-filters are used in this work: median filter, myriad filter and five M-filter characterized by their cost function (skipped median, Andrew's sine, Tukey's biweight, standard M-filter, arc tangent M-filter). Their ability to suppress the impulsive noise is tested with a high resolution ECG signal that is corrupted by artificial noise and real muscle noise.