Optimization of cochlear implant electrode array using genetic algorithms and computational neuroscience models

Charles T. M. Choi*, Wei Dian Lai, Yu Bin Chen

*Corresponding author for this work

Research output: Contribution to journalArticle

22 Scopus citations

Abstract

Finite-element (FE) analysis is used to compute the current distribution of the human cochlea during cochlear implant electrical stimulation. Genetic algorithms are then applied in conjunction with computational neuroscience models and FE analysis to optimize the shape and dimensions of cochlear implant electrode array. The goal is to improve the focus of electrical energy delivered to the auditory nerves in the human cochlea, thus reducing energy wasted and improve the efficiency and effectiveness of the cochlear implant system.

Original languageEnglish
Pages (from-to)639-642
Number of pages4
JournalIEEE Transactions on Magnetics
Volume40
Issue number2 II
DOIs
StatePublished - 1 Mar 2004

Keywords

  • Activating function
  • Cochlear implant electrode
  • Cochlear neuron
  • Electrical stimulation
  • Genetic algorithm (GA)
  • Volume conduction analysis

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