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 Jan

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Keywords

  • EEG
  • Factor Analysis
  • Genetic Algorithms
  • Neural Networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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