文献
J-GLOBAL ID:201802228155963191
整理番号:18A0781046
EEG信号からの歩行状態の神経分類のための多重カーネルに基づく領域重要性学習【JST・京大機械翻訳】
Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG Signals
著者 (5件):
Zhang Yuhang
(Noninvasive Brain-Machine Interface Systems Lab, Department of Electrical and Computer Engineering, University of Houston)
,
Zhang Yuhang
(Hyperspectral Image Analysis Lab, Department of Electrical and Computer Engineering, University of Houston)
,
Prasad Saurabh
(Hyperspectral Image Analysis Lab, Department of Electrical and Computer Engineering, University of Houston)
,
Kilicarslan Atilla
(Noninvasive Brain-Machine Interface Systems Lab, Department of Electrical and Computer Engineering, University of Houston)
,
Contreras-Vidal Jose L.
(Noninvasive Brain-Machine Interface Systems Lab, Department of Electrical and Computer Engineering, University of Houston)
資料名:
Frontiers in Neuroscience (Web)
(Frontiers in Neuroscience (Web))
巻:
11
ページ:
170
発行年:
2017年
JST資料番号:
U7087A
ISSN:
1662-453X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)