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

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Języki publikacji
EN
Abstrakty
EN
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.
Twórcy
autor
  • Institute of Electronics, Division of Biomedical EIectronics, ul. Akademicka 16, 44-100 Gliwice, Poland, tpander@polsl.pl
Bibliografia
  • 1. Bröcker J., Parlitz U., Ogorzalek M.: Nonlinear Noise Reduction, Proceedings of the IEEE, 90, 898-918.
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  • 7. Numerical Recipes in C: The Art of Scientific Computing: http://www.nr.com.
  • 8. Pander T.: Application of weighted myriad filters to suppress impulsive noise in biomedical signals, TASK Quarterly 2004, 8, 199-216.
  • 9. Poularikas A.D.: The Handbook of Formulas and Tables for Signal Processing, CRC Press LLC, 1999.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0030-0026
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