• DocumentCode
    380893
  • Title

    Preliminary processing and detection of characteristic features of Brainstem Auditory Evoked Potentials (BAEP)

  • Author

    Wochlik, Ireneusz ; Bulka, Jaroslaw ; Izworski, Andrzej ; Paslawski, Andrzej

  • Author_Institution
    AGH Univ. of Technol., Krakow, Poland
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1765
  • Abstract
    The brainstem auditory evoked potentials (BAEP) provide an objective, electrophysiological diagnostic method, widely applied in examinations of auditory organs, in particular for such cases, when the application of traditional audiometric methods is difficult or impossible, e.g. in examination of little children and infants. The shape of the time-dependent signal, and its possible distortion, and particularly the presence or absence of characteristic waves are of great diagnostic importance. In the present work methods of preliminary processing and automated identification of wave V are presented, using the self-organizing map (SOM) type neural networks for determination of the structure of the feature space and classification.
  • Keywords
    auditory evoked potentials; feature extraction; medical signal processing; paediatrics; pattern classification; self-organising feature maps; SOM type neural networks; auditory organs; automated identification; brainstem auditory evoked potentials; characteristic features detection; characteristic waves; classification; diagnostic importance; distortion; electrophysiological diagnostic method; feature space; infants; little children; preliminary processing; self-organizing map; time-dependent signal; wave V; Artificial intelligence; Biological neural networks; Computer vision; Cutoff frequency; Data processing; Finite impulse response filter; Nonlinear filters; Pediatrics; Signal processing; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1020561
  • Filename
    1020561