Title :
A new flat interface nerve electrode design scheme based on finite element method, genetic algorithm and computational neuroscience method
Author :
Choi, Charles T M ; Lee, Sih Sian
fDate :
4/1/2006 12:00:00 AM
Abstract :
A study of motor nerve stimulation by flat interface nerve electrodes (FINE) using a new cuff electrode design based on finite element method, genetic algorithm and computational neuroscience method is presented. The purpose of this study is to obtain optimized parameters of electrode model for higher motor nerve stimulation efficiency. In this paper, the application for the focus stimulation on target fascicle is presented
Keywords :
bioelectric phenomena; biomedical electrodes; finite element analysis; genetic algorithms; neurophysiology; computational neuroscience method; cuff electrode design; finite element method; flat interface nerve electrodes; genetic algorithm; motor nerve stimulation; target fascicle; Algorithm design and analysis; Animals; Boundary conditions; Computer interfaces; Electrical stimulation; Electrodes; Finite element methods; Genetic algorithms; Nerve fibers; Neuroscience; Computational neuroscience method; finite element method; flat interface nerve electrode; genetic algorithm; volume conduction method;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2006.872463
