The design and validation of a hybrid digital-signal-processing plug-in for traditional cochlear implant speech processors.

Journal: Computer methods and programs in biomedicine
Published Date: Jun 1, 2018

Abstract

BACKGROUND AND OBJECTIVE: Cochlear implants (CIs) are electronic devices restoring partial hearing to deaf individuals with profound hearing loss. In this paper, a new plug-in for traditional IIR filter-banks (FBs) is presented for cochlear implants based on wavelet neural networks (WNNs). Having provided such a plug-in for commercially available CIs, it is possible not only to use available hardware in the market but also to optimize their performance compared with the-state-of-the-art.

Authors

  • Fatemeh Hajiaghababa
    Electrical Engineering Department, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
  • Hamid R Marateb
    Department of Biomedical Engineering, Faculty of Engineering, the University of Isfahan, Isfahan, Iran. Electronic address: h.marateb@eng.ui.ac.ir.
  • Saeed Kermani
    Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies ‎in Medicine, Isfahan University of ‎Medical Sciences, Isfahan, Iran. Electronic address: kermani@med.mui.ac.ir.

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