• DocumentCode
    1509756
  • Title

    Signal-processing techniques for cochlear implants

  • Author

    Laizou, P.C.

  • Author_Institution
    Dept. of Appl. Sci., Arkansas Univ., Little Rock, AR, USA
  • Volume
    18
  • Issue
    3
  • fYear
    1999
  • Firstpage
    34
  • Lastpage
    46
  • Abstract
    Cochlear implants have been successful in restoring partial hearing to profoundly deaf people. The success of cochlear implants can be attributed to the combined efforts of scientists from various disciplines, including bioengineering, physiology, otolaryngology, speech science, and signal processing. Each of these disciplines contributed to various aspects of the cochlear implant design. Signal processing, in particular, played an important role in the development of different techniques for deriving electrical stimuli from the speech signal. The purpose of this article is to present a review of various signal-processing techniques that have been used for cochlear prosthesis over the past 25 years.
  • Keywords
    biomedical electrodes; ear; hearing aids; medical signal processing; prosthetics; reviews; signal representation; signal sampling; speech processing; speech recognition; Clarion system; House/3M device; Vienna/3M device; cochlear implants; compressed analog approach; continuous interleaved sampling; electrical stimuli; feature extraction; multichannel implants; partial hearing restoration; signal representation; signal-processing techniques; single-channel implants; spectral maxima sound processor; speech perception; speech signal; Auditory system; Biomedical engineering; Biomedical signal processing; Cochlear implants; Deafness; Physiology; Prosthetics; Signal processing; Signal restoration; Speech processing; Amplifiers; Cochlear Implants; Electric Stimulation; Electronics, Medical; Humans; Prosthesis Design; Signal Processing, Computer-Assisted; Speech Perception;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.765187
  • Filename
    765187