Title :
Optimization of cochlear implant electrode array using genetic algorithms and computational neuroscience models
Author :
Choi, Charles T M ; Lai, Wei-Dian ; Chen, Yu-Bin
Author_Institution :
Dept. of Electr. Eng., I-Shou Univ., Kaohsiung, Taiwan
fDate :
3/1/2004 12:00:00 AM
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 :
biomedical electrodes; current distribution; ear; finite element analysis; genetic algorithms; hearing aids; physiological models; activating function; auditory nerves; cochlear implant electrode array; cochlear neuron; computational neuroscience models; current distribution; dimensions optimization; electrical energy; electrical stimulation; finite-element analysis; genetic algorithms; human cochlea; shape optimization; volume conduction analysis; Cochlear implants; Computational modeling; Current distribution; Distributed computing; Electrodes; Finite element methods; Genetic algorithms; Humans; Iron; Neuroscience;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2004.824912
