• DocumentCode
    2715435
  • Title

    Cochlear implant stimulation strategy based on wavelet transform: Toward DSP real time implementation

  • Author

    Derbel, Amira ; Ghorbel, Mohamed ; Samet, Mounir ; Ben Hamida, Ahmed ; Tomas, Jean

  • Author_Institution
    Technol. de l´´Inf. & Electron. Medicale, Nat. Eng. Sch. of Sfax, Sfax, Tunisia
  • fYear
    2011
  • fDate
    26-29 June 2011
  • Firstpage
    117
  • Lastpage
    121
  • Abstract
    This paper discusses the real-time implementation of a cochlear implant strategy based on wavelet transform (WT). The cochlear implant converts in real time, sounds perceived from the outside, into electrical pulses that stimulate nerve endings in the cochlea. These electrical stimuli are interpreted by the brain as sounds. To achieve a real-time electrical stimulation strategy, optimization steps have been taken. These steps consist of using dynamic link libraries, making efficient memory allocation and performing fixed-point arithmetic. Using these steps, we have been able to reduce the processing time to approximately 10.49μs on a 720MHz TMS320C6416 DSP board. So, we can note that the execution time represents only about 21% of the minimum biphasic stimulation pulse width (25μs/phase).
  • Keywords
    bioacoustics; bioelectric phenomena; brain; cochlear implants; fixed point arithmetic; medical signal processing; neurophysiology; optimisation; wavelet transforms; DSP real time implementation; brain; cochlear implant stimulation; dynamic link libraries; electrical pulses; fixed point arithmetic; frequency 720 MHz; memory allocation; nerve endings; optimization; real time electrical stimulation; sounds; wavelet transform; Cochlear implants; Continuous wavelet transforms; Digital signal processing; Filter banks; Real time systems; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Circuits and Systems Conference (NEWCAS), 2011 IEEE 9th International
  • Conference_Location
    Bordeaux
  • Print_ISBN
    978-1-61284-135-9
  • Type

    conf

  • DOI
    10.1109/NEWCAS.2011.5981233
  • Filename
    5981233