等価電流双極子推定法による脳内活動推定のための脳波のICAによる前処理について

カテゴリ: 部門大会

論文No: TC4-14

グループ名: 【C】平成26年電気学会電子・情報・システム部門大会講演論文集

発行日: 2014/09/03

タイトル(英語): Preprocessing of EEG by ICA for Estimation of Brain Activities by Equivalent Current Dipole Localization

著者名: 山ノ井 高洋(北海学園大学),山崎 敏正(九州工業大学)

著者名(英語): Takahiro Yamanoi(Hokkai Gakuen University),Toshimasa Yamazaki(Kyushu Institute of Technology)

キーワード: 独立成分分析|脳内活動|等価電流双極子推定法|時空間分布推定|Independent Component Analysis|Brain Activities|Equivalent Current Dipole Localization|Estimation of Spatiotemporal Distribution

要約(日本語): The authors measured electroencephalograms (EEGs) from subjects on recalling several types of images presented on CRT. During these experiments, the electrodes were fixed on the scalp of subject, however, thus obtained EEGs were multiple components including muscle potential, brain potential, etc. The ICA is a technical method for solving so called the cocktail party problem. The authors applied the method for preprocessing EEGs. We applied the ICA to single-trial EEGs, and then we tried to estimate spatiotemporal brain activities by use of the equivalent current dipole source localization (ECDL) method. Results were almost coincided with previous ECDL method.

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