A design of the EEG feature detection and condition classification

Junko Murakami, Shin Ichi Ito, Yasue Mitsukura, Jianting Cao, Minoru Fukumi

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, we classify the human conditions (before and after meal, before and after smoking) and extract the frequency feature of conditions by using the electroencephalograms (EEG). First, we measure the EEG data. Then, we classify the conditions by using the principal component analysis (PCA). Moreover, the EEG data is reconstructed by using the questionnaires and the result of classification. From the result, we consider ideal circumstance for the EEG measurement. Finally, the EEG data is decompressed to consider the EEG features of conditions. Then, in order to show the effectiveness of the proposed method, computer simulations are done.

本文言語English
ホスト出版物のタイトルSICE Annual Conference, SICE 2007
出版社Society of Instrument and Control Engineers (SICE)
ページ2798-2803
ページ数6
ISBN(印刷版)4907764286, 9784907764289
DOI
出版ステータスPublished - 2007 1 1
外部発表はい
イベントSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan
継続期間: 2007 9 172007 9 20

出版物シリーズ

名前Proceedings of the SICE Annual Conference

Other

OtherSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
国/地域Japan
CityTakamatsu
Period07/9/1707/9/20

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

フィンガープリント

「A design of the EEG feature detection and condition classification」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル