論文

査読有り
2008年9月

エピソード記憶想起時の非定常脳波の解析

ライフサポート
  • 具 永基
  • ,
  • 川澄 正史

20
3
開始ページ
17-24
終了ページ
114
記述言語
日本語
掲載種別
DOI
10.5136/lifesupport.20.107
出版者・発行元
ライフサポート学会

Signal analysis methods for EEG signal are applied in blind signal separation, artifact removal, and feature extraction. These methods are utilized in time-domain or frequency-domain. A fundamental problem in EEG signal is that signal from the scalp exhibits nonstationarity and is mixed spatiotemporally. In this study, we analyzed EEG signal using a combination method with ICA(Independent Component Analysis)and semiparametric approach. Theta is associated with creative inspiration, deep mediation, and attention. During the episodic memory retrieval, the combination method is used to analyze data of7channels, in which EEG data from6electrodes and one EMG data are recorded every5ms. Subjects are required to push a right-side button when they recognized a presented word-pair is the same one as they previously remembered. Three seconds length EEG data are recorded before and after button pressed, then the artifact (eye blinking)is removed by ICA. Our proposed combination method is more effective than parametric AR model in context of extracting theta activity(4Hz to8Hz)during the episodic memory retrieval.

リンク情報
DOI
https://doi.org/10.5136/lifesupport.20.107
CiNii Articles
http://ci.nii.ac.jp/naid/10029237634
CiNii Books
http://ci.nii.ac.jp/ncid/AA11947931
URL
https://jlc.jst.go.jp/DN/JALC/00318357308?from=CiNii
URL
http://search.jamas.or.jp/link/ui/2008348111
ID情報
  • DOI : 10.5136/lifesupport.20.107
  • ISSN : 1341-9455
  • CiNii Articles ID : 10029237634
  • CiNii Books ID : AA11947931

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