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Application of generalized filters for estimation of fetal heart rate baseline

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Języki publikacji
EN
Abstrakty
EN
This paper addresses the problem of impulsive noise cancellation in digital signal area. The myriad and meridian filters are the type of robust filters which are very useful in suppressing the impulsive type of noise. The cost functions of theses filters have very similar structure. In this paper the generalized filter based on Lp norm is presented. The proposed filter operates in a wide range of impulsive noise due to the proper adjustment of p in the Lp norm. The presented filter is applied to suppress an impulsive noise in fetal heart rate (FHR) signal. Simulation results confirm the validity of the proposed filter.
Rocznik
Tom
Strony
73--79
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
autor
  • Silesian University of Technology, Institute of Electronics, Akademicka St. 16, 44-100 Gliwice, Poland
autor
autor
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Bibliografia
  • [1] ARCE G.R., KALLURI S., Robust frequency-selective filtering using weighted myriad filters admitting real weights, IEEE Trans. On Signal Proc. 49, 2001, pp. 2721-2733.
  • [2] AYSAL T.C., BARNER K.E., Meridian filtering for robust signal processing, IEEE Trans. On Signal Proc. 55, 2007, pp. 3939-3962.
  • [3] GONZALES J.G., PAREDES J.L., ARCE G.R., Zero-order statistics: a mathematical framework for the processing and characterization of very impulsive signals, IEEE Trans. On Signal Proc. 54, 2006, 3839-3851.
  • [4] GONZALEZ J.G., ARCE G.R., Statistically-Efficient Filtering in Impulsive Environments: Weighted Myriad Filters, EURASIP Journal on Applied Signal Processing, Vol. 1, 2002, pp. 4-20.
  • [5] HUBER P., Robust statistics, Wiley, New York, 1981.
  • [6] JEZEWSKI J., WROBEL J., KUPKA T., Baseline and acceleration episodes – clinically significant nonstationarities in fetal heart signal: I Coefficients of inconsistency, in Computer Recognition Systems, Editors: KURZYNSKI M., PUCHALA E., et. al., Advances in Soft Computing Series, Springer Verlag, 2005, pp. 527-534.
  • [7] JEZEWSKI J., WROBEL J., HOROBA K., KUPKA T., MATONIA A., Centralized fetal monitoring system with hardware-based data flow control, Proc. of III International Conference MEDSIP, 2006, pp. 51-54.
  • [8] JEŻEWSKI J., WRÓBEL J., Global baseline determination in fetal heart rate records with the identification of local prominent rates, Proc. of the 1st Int. Conf. on Medical Physics and Biomedical Engineering, Vol. 2, 1994, pp. 365-369.
  • [9] JEŻEWSKI J., HOROBA K., WRÓBEL J., GRACZYK S., Extraction of expert's baseline curve from graphical FHR records: Evaluation of the method accuracy, Proc. of the 4th Int. Conf. on Computers in Medicine, 1, 1997, pp. 176-180.
  • [10] JEŻEWSKI J., HOROBA K., MATONIA A., Baseline and acceleration episodes – clinically significant nonstationarities in FHR signal: II Indirect comparison, in Computer Recognition Systems, Editors: KURZYŃSKI M., PUCHAŁA E., et. al., Advances in Soft Computing Series, Springer Verlag, Vol. 30, 2005, pp. 535-542.
  • [11] KALLURI S., ARCE G.R., Adaptive weighted myriad filter algorithms for robust signal processing in [-stable noise environments, IEEE Trans. On Signal Proc. 46, 1998, pp. 322-334.
  • [12] NASRI A., NEZAMPOUR A., SCHOBER R., Adaptive coherent Lp-norm combining, IEEE ICC Proceedings, 2009.
  • [13] MATONIA A., JEZEWSKI J., KUPKA T., HOROBA K., WROBEL J., GACEK A., The influence of coincidence of fetal and maternal QRS complexes on fetal heart rate reliability, Medical and Biological Engineering and Computing, Vol. 44, No. 5, 2006, pp. 393-403.
  • [14] MATONIA A., JEZEWSKI J., HOROBA K., GACEK A., LABAJ P., The maternal ECG suppression algorithm for efficient extraction of the fetal ECG from abdominal signal, Proc. of the 28th Ann. Int. Conf. of the IEEE Engineering in Medicine and Biology Society, Vol. 28, 2006, pp. 3106-3109.
  • [15] PANDER T., New polynomial approach to myriad filter computation, Signal Proc. 90, 2010, pp. 3340-3346.
  • [16] PRZYBYLA T. JEZEWSKI J., HOROBA K., The adaptive fuzzy meridian and its application to fuzzy clustering, in Computer Recognition Systems 3, Editors: KURZYNSKI M., WOZNIAK M., Advances in Soft Computing 57, Springer Verlag, 2009, pp. 247-255.
  • [17] ROENKO A.R., LUKIN V.V, DJUROVIC I., Two approaches to adaptation of sample myriad to characteristics of StS data, Signal Process. 90, 2010, pp. 2113-2123.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0016-0007
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