文献
J-GLOBAL ID:201702262105501121
整理番号:17A0913844
EEG信号のアーチファクトの補正におけるICAとPCA(主成分分析)法の比較【Powered by NICT】
Comparison of the ICA and PCA methods in correction of EEG signal artefacts
著者 (4件):
Kaczorowska Monika
(Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Institute of Computer Science, Poland)
,
Plechawska-Wojcik Malgorzata
(Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Institute of Computer Science, Poland)
,
Tokovarov Mikhail
(Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Institute of Computer Science, Poland)
,
Dmytruk Roman
(Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Institute of Computer Science, Poland)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ATEE
ページ:
262-267
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)