Proposal of the EEG Analysis Method Using the Individual Characteristic of the EEG

Shin Ichi Ito, Minoru Fukumi, Norio Akamtsu, Yasue Mitsukura

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

It is often known that an EEG has the individual characteristic. However, there are no researches to achieve the considering of the individual characteristic. Then, the analyzed frequency components of the EEG have that the frequency components in which characteristics are contained significantly, and that not. Moreover, these combinations have the individual difference. We think that these combinations are the individual characteristic of the EEG. In this paper, the EEG analysis method by using the GA and the FA and the NN is proposed. The GA is used for selecting the individual characteristic. The FA is used for extracting the characteristics data of the EEG. The NN is used for estimating extracted the characteristics data of the EEG. Finally, in order to show the effectiveness of the proposed method, computer simulations are done by classifying the EEG pattern.

Original languageEnglish
Pages (from-to)1259-1266
Number of pages8
JournalIEEJ Transactions on Electronics, Information and Systems
Volume124
Issue number6
DOIs
Publication statusPublished - 2004
Externally publishedYes

Fingerprint

Electroencephalography
Computer simulation

Keywords

  • EEG
  • Factor Analysis
  • Genetic Algorithms
  • Neural Networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Proposal of the EEG Analysis Method Using the Individual Characteristic of the EEG. / Ito, Shin Ichi; Fukumi, Minoru; Akamtsu, Norio; Mitsukura, Yasue.

In: IEEJ Transactions on Electronics, Information and Systems, Vol. 124, No. 6, 2004, p. 1259-1266.

Research output: Contribution to journalArticle

@article{6343ef034d6b48d8ba8019de58e0766a,
title = "Proposal of the EEG Analysis Method Using the Individual Characteristic of the EEG",
abstract = "It is often known that an EEG has the individual characteristic. However, there are no researches to achieve the considering of the individual characteristic. Then, the analyzed frequency components of the EEG have that the frequency components in which characteristics are contained significantly, and that not. Moreover, these combinations have the individual difference. We think that these combinations are the individual characteristic of the EEG. In this paper, the EEG analysis method by using the GA and the FA and the NN is proposed. The GA is used for selecting the individual characteristic. The FA is used for extracting the characteristics data of the EEG. The NN is used for estimating extracted the characteristics data of the EEG. Finally, in order to show the effectiveness of the proposed method, computer simulations are done by classifying the EEG pattern.",
keywords = "EEG, Factor Analysis, Genetic Algorithms, Neural Networks",
author = "Ito, {Shin Ichi} and Minoru Fukumi and Norio Akamtsu and Yasue Mitsukura",
year = "2004",
doi = "10.1541/ieejeiss.124.1259",
language = "English",
volume = "124",
pages = "1259--1266",
journal = "IEEJ Transactions on Electronics, Information and Systems",
issn = "0385-4221",
publisher = "The Institute of Electrical Engineers of Japan",
number = "6",

}

TY - JOUR

T1 - Proposal of the EEG Analysis Method Using the Individual Characteristic of the EEG

AU - Ito, Shin Ichi

AU - Fukumi, Minoru

AU - Akamtsu, Norio

AU - Mitsukura, Yasue

PY - 2004

Y1 - 2004

N2 - It is often known that an EEG has the individual characteristic. However, there are no researches to achieve the considering of the individual characteristic. Then, the analyzed frequency components of the EEG have that the frequency components in which characteristics are contained significantly, and that not. Moreover, these combinations have the individual difference. We think that these combinations are the individual characteristic of the EEG. In this paper, the EEG analysis method by using the GA and the FA and the NN is proposed. The GA is used for selecting the individual characteristic. The FA is used for extracting the characteristics data of the EEG. The NN is used for estimating extracted the characteristics data of the EEG. Finally, in order to show the effectiveness of the proposed method, computer simulations are done by classifying the EEG pattern.

AB - It is often known that an EEG has the individual characteristic. However, there are no researches to achieve the considering of the individual characteristic. Then, the analyzed frequency components of the EEG have that the frequency components in which characteristics are contained significantly, and that not. Moreover, these combinations have the individual difference. We think that these combinations are the individual characteristic of the EEG. In this paper, the EEG analysis method by using the GA and the FA and the NN is proposed. The GA is used for selecting the individual characteristic. The FA is used for extracting the characteristics data of the EEG. The NN is used for estimating extracted the characteristics data of the EEG. Finally, in order to show the effectiveness of the proposed method, computer simulations are done by classifying the EEG pattern.

KW - EEG

KW - Factor Analysis

KW - Genetic Algorithms

KW - Neural Networks

UR - http://www.scopus.com/inward/record.url?scp=34250776366&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34250776366&partnerID=8YFLogxK

U2 - 10.1541/ieejeiss.124.1259

DO - 10.1541/ieejeiss.124.1259

M3 - Article

AN - SCOPUS:34250776366

VL - 124

SP - 1259

EP - 1266

JO - IEEJ Transactions on Electronics, Information and Systems

JF - IEEJ Transactions on Electronics, Information and Systems

SN - 0385-4221

IS - 6

ER -