Shape Optimization of Cochlear Implant Electrode Array Using Genetic Algorithms.

摘要

Finite element 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 the finite element analysis to optimize the shape of cochlear implant electrode array based on the energy deposited in the spiral ganglion cells region. The goal is to improve the focus of electrical energy delivered to the spiral ganglion cells in the human cochlea, thus, reducing energy wasted and improve the efficiency and effectiveness of the cochlear implant system.