• DocumentCode
    2170237
  • Title

    Algorithm design of artifact removal in the embedded hearing diagnosis system

  • Author

    Haimeng, Sun

  • Author_Institution
    Information Engineering Department, Jimei University Chengyi College, XiaMen FuJian 361021, China
  • fYear
    2015
  • fDate
    22-24 July 2015
  • Firstpage
    651
  • Lastpage
    653
  • Abstract
    Among these response signals in the external auditory canal evoked by stimulating sounds, as OAEs signal intensity is very low, which is generally lower than 20BbSPL, while the stimulus artifact is relatively much stronger, stimulus artifact suppression has always been a very important but very thorny issue in the OAEs detection. This article studies the OAEs detection algorithm and the comprehensive application of the current signal processing method in the embedded hearing diagnosis system, which get good effects in artifact removal.
  • Keywords
    Auditory system; Ear; Irrigation; Noise; Reflection; Time-domain analysis; Artifact; Hearing diagnosis; TEOAEs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2015 10th International Conference on
  • Conference_Location
    Cambridge, United Kingdom
  • Print_ISBN
    978-1-4799-6598-4
  • Type

    conf

  • DOI
    10.1109/ICCSE.2015.7250327
  • Filename
    7250327