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An application of the Lp-norm in robust weighted averaging of biomedical signals

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Averaging is one of the basic methods of statistical analysis of experimental data where the response of the system is periodic or quasi-periodic. As long as the noise are Gaussian, the standard averaging leads to good results and effective noise reduction. However, when the distortions have impulsive nature, then such an approach leads to a deterioration of the system. In this case the robust methods should be applied which are characterized by resistance to a statistical sample spoken. In this work a robust averaging method based on the minimization of a scalar criterion function using a Lp-norm functions are presented. The effectiveness of the proposed method was tested in an averaging periods aligned ECG signal cycles in the presence of impulse noise.
Rocznik
Tom
Strony
71--78
Opis fizyczny
Bibliogr. 16 poz., tab., wykr.
Twórcy
autor
  • Instutite of Electronics, Silesian University of Technology, 16 Akademicka Str, 44-100 Gliwice, Poland.
autor
  • Instutite of Electronics, Silesian University of Technology, 16 Akademicka Str, 44-100 Gliwice, Poland.
  • Instutite of Electronics, Silesian University of Technology, 16 Akademicka Str, 44-100 Gliwice, Poland.
Bibliografia
  • [1] ALFONSO V. X., TOMPKINS W. J., NGUYEN T. Q., MICHLER K., LUO S., Comparing stress ECG enhancement algorithms, IEEE Engineering in Medicine and Biology Magazine, 1996, Vol. 15, pp. 37-44.
  • [2] BATAILLOU E., THIERRY E., RIX H., MESTE O., Weighted averaging using adaptive estimation of the weights, Signal Processing, 1995, Vol. 44, pp. 51-66.
  • [3] CORBIER CH., CARMONA J. C., ALVARADO V. M., L1 - L2 robust estimation in prediction error system identification, 6th International Conference on Electrical Engineering, Computing Science and Automatic Control, 10-13 January, Toluca, Mexic, 2009.
  • [4] GONZALEZ J., PAREDES J., ARCE G., Zero-order statistics: A mathematical framework for the processing and characterization of very impulsive signals, IEEE Transactions on Signal Processing, 2006, Vol. 54, pp. 3839-3851.
  • [5] HAMPEL F. R., RONCHETTI E. M., ROUSSEEUW P. J., STAHEL W. A., Robust Statistics - The Approach Based on Influence Functions. Wiley, New York, 1986.
  • [6] LACIAR E., JANE R., An improved weighted signal averaging method for high-resolution ECG signals, Computers in Cardiology, 2001, Vol. 28, pp. 69-72.
  • [7] KALLURI S., ARCE G., Adaptive weighted myriad filter algorithms for robust signal processing in alpha-stable noise environments, IEEE Transactions on Signal Processing, 1998, Vol. 46, pp. 322-334.
  • [8] LEE Y. H., KASSAM S. A., Generalized Median Filtering and Related Nonlinear Filtering Techniques, IEEE Transactions on Acoustics, Speech and Signal Processing, 1985, Vol. 33, pp. 672-683.
  • [9] LEONOWICZ Z., KARVANEN J., SHISHKIN S.: Trimmed estimators for robust averaging of event-related potentials, Journal of Neuroscience Methods, 2005, Vol. 142, pp. 17-26.
  • [10] ŁĘSKI J., Robust weighted averaging, IEEE Transactions on Biomedical Engineering, 2002, Vol. 49, pp. 796-804.
  • [11] MOMOT A., Methods of weighted averaging of ecg signals using bayesian inference and criterion function minimization, Biomedical Signal Processing and Control, 2009, Vol. 4, pp. 162-169.
  • [12] NASRI A., NEZAMPOUR A., SCHOBER R., Adaptive coherent Lp-norm combining, IEEE International Conference on Communications, 14-18 June 2009 proceedings.
  • [13] PANDER T., An application of myriad M-estimator for robust weighted averaging, International Conference on Man-Machine Interactions, October 22-25, 2013, Beskidy, Poland (accepted to print).
  • [14] PANDER T., New polynomial approach to myriad filter computation. Signal Processing, 2010, Vol. 90, pp. 1991-2001.
  • [15] SHAO M., NIKIAS C., Signal processing with fractional lower order moments: stable processes and their applications, Proceedings of IEEE, 1993, Vol. 81, pp. 986-1009.
  • [16] YIN L., YANG R., GABBOUJ M., NEUVO Y., Weighted Median Filters: a Tutorial, IEEE Transactions on Circuits and Systems - II: Analog and Digital Signal Processing, 1996, Vol. 43, pp. 157-102.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-342ace81-d924-4e1e-8af1-d32d4eaf7a0e
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