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

Charles T. M. Choi; Wei Dian Lai; Yu Bin Chen

doi:10.1109/TMAG.2004.824912

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

Institute of Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

25 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 language	English
Pages (from-to)	639-642
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	40
Issue number	2 II
DOIs	https://doi.org/10.1109/TMAG.2004.824912
State	Published - 1 Mar 2004

Keywords

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

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10.1109/TMAG.2004.824912

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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.",

keywords = "Activating function, Cochlear implant electrode, Cochlear neuron, Electrical stimulation, Genetic algorithm (GA), Volume conduction analysis",

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AB - 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.

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KW - Cochlear implant electrode

KW - Cochlear neuron

KW - Electrical stimulation

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

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Keywords

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