• DocumentCode
    388512
  • Title

    Application of a cepstral distance measure in evoked potential processing

  • Author

    Rauner, H. ; Appel, U. ; Wolf, W.

  • Author_Institution
    Bundeswehr University, Munich, Neubiberg, FRG
  • Volume
    8
  • fYear
    1983
  • fDate
    30407
  • Firstpage
    280
  • Lastpage
    283
  • Abstract
    Transient evoked potentials (EPs) are variations of the on-going electroencephalogram (EEG) in response to the application of sensory stimuli. Since their amplitudes are very small in comparison to the spontaneous EEG, signal extraction methods must be applied to improve the signal-to-noise ratio. A short review of commonly used signal processing methods in EP research is given, concentrating on their assumptions and limitations. Subsequently a parametric system model is proposed which considers the characteristics of the on-going EEG preceding the stimulus in the EP processing. In order to show the advantage of this approach some results are given and their impact on the aforementioned methods is discussed.
  • Keywords
    Brain modeling; Cepstral analysis; Data mining; Electroencephalography; Frequency estimation; Humans; Matched filters; Noise level; Signal processing; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1983.1172222
  • Filename
    1172222