• DocumentCode
    2224404
  • Title

    Differentiation of perceived sound levels by electroencephalographic data : A novelty detection approach using habituation correlates

  • Author

    Mariam, Mai ; Delb, Wolfgang ; Strauss, Daniel J.

  • Author_Institution
    Comput. Diagnostics & Biocybernetics Unit, Saarland Univ. Hosp., Homburg, Germany
  • fYear
    2009
  • fDate
    April 29 2009-May 2 2009
  • Firstpage
    570
  • Lastpage
    573
  • Abstract
    Unsolved problem of cochlear implant as well as hearing aid fitting, i.e., to determine the threshold of most comfortable loudness level motivated our study. In the present study, we apply a single-sweep processing method which employs a hybrid approach of adaptive frame decomposition and the kernel based novelty detection machine for the detection of auditory habituation in late auditory evoked potentials (LAEPs) to differentiate the sweeps at 60 dB sound pressure level (SPL), 70 dB SPL, 80 dB SPL, and 90 dB SPL stimulation level. A significance difference among the habituation correlates in LAEPs of these stimulation levels was observed. It is concluded that the new approach provides a reliable method in the detection of habituation as well as differentiation of stimulation levels. It can be further used in more clinically oriented studies related to an objective fitting of hearing aids or cochlear implants.
  • Keywords
    auditory evoked potentials; cochlear implants; electroencephalography; hearing aids; medical signal processing; adaptive frame decomposition; auditory evoked potential; auditory habituation; cochlear implant; electroencephalographic data; habituation correlates; hearing aid; hearing aid fitting; kernel based novelty detection machine; perceived sound level; single-sweep processing method; Acoustic materials; Auditory system; Biological materials; Cochlear implants; Cybernetics; Ear; Hospitals; Kernel; Neural engineering; Speech;
  • 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.2009.5109360
  • Filename
    5109360