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

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

doi:10.1541/ieejeiss.124.1259

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 journal › Article › peer-review

16 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 language	English
Pages (from-to)	1259-1266
Number of pages	8
Journal	IEEJ Transactions on Electronics, Information and Systems
Volume	124
Issue number	6
DOIs	https://doi.org/10.1541/ieejeiss.124.1259
Publication status	Published - 2004 Jan
Externally published	Yes

Keywords

EEG
Factor Analysis
Genetic Algorithms
Neural Networks

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1541/ieejeiss.124.1259

Cite this

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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.",

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AU - Ito, Shin Ichi

AU - Fukumi, Minoru

AU - Akamtsu, Norio

AU - Mitsukura, Yasue

PY - 2004/1

Y1 - 2004/1

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.

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KW - Factor Analysis

KW - Genetic Algorithms

KW - Neural Networks

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

Abstract

Keywords

ASJC Scopus subject areas

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