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

Volume

42

Issue

4

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

1119

Lastpage

1122

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;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2006.872463

Filename

1608407