• DocumentCode
    2225244
  • Title

    Gabor frame phase stability analysis of chirp evoked auditory brainstem responses

  • Author

    Corona-Strauss, Farah I. ; Delb, Wolfgang ; Schick, Bernhard ; Hussain, Sheikh ; Strauss, Daniel J.

  • Author_Institution
    Comput. Diagnostics & Biocybernetics Unit, UdS/HTW, Homburg
  • fYear
    2009
  • fDate
    April 29 2009-May 2 2009
  • Firstpage
    730
  • Lastpage
    733
  • Abstract
    We have shown that click evoked auditory brainstem response (ABR) single sweeps can be efficiently processed using a novelty detection paradigm. In this paradigm, the diagnostic system is self-adjusted to the individual measurement setting using the spontaneous activity. ABRs as a large-scale reflection of a stimulus locked neuronal group synchronization at the brainstem level are detected as novel instance - novel as compared to the spontaneous activity which does not exhibit a regular stimulus locked synchronization.
  • Keywords
    Gabor filters; auditory evoked potentials; decomposition; feature extraction; medical signal detection; neurophysiology; synchronisation; ABR single sweep analysis; GFPS; Gabor frame phase stability analysis; chirp evoked ABR; chirp evoked auditory brainstem response; cojoint systems; computational decision making stage; decomposition technique; expert based diagnostic procedure; feature extraction technique; hearing threshold detection; large-scale reflection; low stimulation intensities; novelty detection paradigm; spontaneous activity; stimulus locked neuronal group synchronization; time Gabor frame operators; ultra-fast detection; Auditory system; Biomedical computing; Biomedical engineering; Chirp; Cybernetics; Neural engineering; Pediatrics; Phase detection; Stability analysis; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4244-2072-8
  • Electronic_ISBN
    978-1-4244-2073-5
  • Type

    conf

  • DOI
    10.1109/NER.2009.5109400
  • Filename
    5109400