文献
J-GLOBAL ID:201702247215913683
整理番号:17A1465388
正準相関解析,ウェーブレットおよびランダムフォレストを用いた頭皮EEG記録からの筋アーチファクトの教師なし検出と除去【Powered by NICT】
Unsupervised detection and removal of muscle artifacts from scalp EEG recordings using canonical correlation analysis, wavelets and random forests
著者 (5件):
Anastasiadou Maria N.
(McGill University, Department of Bioengineering, 817 Sherbrooke St. W., Macdonald Engineering Building, Room 270, Montreal, QC H3A 0C3, Canada)
,
Christodoulakis Manolis
(McGill University, Department of Bioengineering, 817 Sherbrooke St. W., Macdonald Engineering Building, Room 270, Montreal, QC H3A 0C3, Canada)
,
Papathanasiou Eleftherios S.
(McGill University, Department of Bioengineering, 817 Sherbrooke St. W., Macdonald Engineering Building, Room 270, Montreal, QC H3A 0C3, Canada)
,
Papacostas Savvas S.
(McGill University, Department of Bioengineering, 817 Sherbrooke St. W., Macdonald Engineering Building, Room 270, Montreal, QC H3A 0C3, Canada)
,
Mitsis Georgios D.
(McGill University, Department of Bioengineering, 817 Sherbrooke St. W., Macdonald Engineering Building, Room 270, Montreal, QC H3A 0C3, Canada)
資料名:
Clinical Neurophysiology
(Clinical Neurophysiology)
巻:
128
号:
9
ページ:
1755-1769
発行年:
2017年
JST資料番号:
A1155A
ISSN:
1388-2457
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)