A new flat interface nerve electrode design scheme based on finite element method, genetic algorithm and computational neuroscience method

T.m. Choi; Sih Sian Lee

doi:10.1109/TMAG.2006.872463

A new flat interface nerve electrode design scheme based on finite element method, genetic algorithm and computational neuroscience method

T.m. Choi^*, Sih Sian Lee

^*Corresponding author for this work

Institute of Biomedical Engineering

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

2 Scopus citations

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.

Original language	English
Pages (from-to)	1119-1122
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	42
Issue number	4
DOIs	https://doi.org/10.1109/TMAG.2006.872463
State	Published - 1 Apr 2006

Keywords

Computational neuroscience method
Finite element method
Flat interface nerve electrode
Genetic algorithm
Volume conduction method

Access to Document

10.1109/TMAG.2006.872463

Cite this

@article{51d807badef04854975d36951c06a0ff,

title = "A new flat interface nerve electrode design scheme based on finite element method, genetic algorithm and computational neuroscience method",

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 = "Computational neuroscience method, Finite element method, Flat interface nerve electrode, Genetic algorithm, Volume conduction method",

author = "T.m. Choi and Lee, {Sih Sian}",

year = "2006",

month = apr,

day = "1",

doi = "10.1109/TMAG.2006.872463",

language = "English",

volume = "42",

pages = "1119--1122",

journal = "IEEE Transactions on Magnetics",

issn = "0018-9464",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - A new flat interface nerve electrode design scheme based on finite element method, genetic algorithm and computational neuroscience method

AU - Choi, T.m.

AU - Lee, Sih Sian

PY - 2006/4/1

Y1 - 2006/4/1

N2 - 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.

AB - 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.

KW - Computational neuroscience method

KW - Finite element method

KW - Flat interface nerve electrode

KW - Genetic algorithm

KW - Volume conduction method

UR - http://www.scopus.com/inward/record.url?scp=33645136993&partnerID=8YFLogxK

U2 - 10.1109/TMAG.2006.872463

DO - 10.1109/TMAG.2006.872463

M3 - Article

AN - SCOPUS:33645136993

SN - 0018-9464

VL - 42

SP - 1119

EP - 1122

JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

IS - 4

ER -

A new flat interface nerve electrode design scheme based on finite element method, genetic algorithm and computational neuroscience method

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this