• DocumentCode
    3050823
  • Title

    Extraction of the Evoked Potentials Based on the Fourth Order Correlations and an Improved Threshold Function

  • Author

    Liu, Changchun ; Liu, Fang ; Hu, Shunbo ; Yu, Mengsun

  • Author_Institution
    Sch. of Control Sci. & Eng., Shan Dong Univ., Jinan
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    908
  • Lastpage
    912
  • Abstract
    According to the characteristics of restraining the additive Gaussian-noise and boosting up the faint signal of the higher-order correlations, this paper designed an adaptive filter which is based on a selected fourth order correlation slice (FOCS) of the input signal. When filtered by this filter, the noise of the noisy evoked potentials (EPs) signal can be eliminated distinctly. Contraposed the disadvantages of traditional threshold function. This paper also proposed an improved threshold function. This function not only has the smoothing property of the soft threshold function, but also has the keeping characteristics property of the hard threshold function. We extracted EPs by combining the adaptive filter with the improved threshold function, and the simulations results proved the method was quick and accurate.
  • Keywords
    Gaussian noise; adaptive filters; bioelectric potentials; signal denoising; wavelet transforms; adaptive filter; additive Gaussian-noise; noisy evoked potentials; selected fourth order correlation slice; threshold function; wavelet transform denoising algorithm; Adaptive filters; Boosting; Design engineering; Gaussian processes; Medical simulation; Random processes; Rhythm; Signal design; Signal processing; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    1-4244-1120-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2007.236
  • Filename
    4272720