文献
J-GLOBAL ID:202202273407524415
整理番号:22A0971059
疲労駆動認識のための振幅ロッキング値を用いたEEGベース脳機能連結性表現【JST・京大機械翻訳】
EEG-based brain functional connectivity representation using amplitude locking value for fatigue-driving recognition
著者 (7件):
Zheng Ronglin
(School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China)
,
Wang Zhongmin
(School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China)
,
Wang Zhongmin
(Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi’an University of Posts and Telecommunications, Xi’an, China)
,
He Yan
(School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China)
,
He Yan
(Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi’an University of Posts and Telecommunications, Xi’an, China)
,
Zhang Jie
(School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China)
,
Zhang Jie
(Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing, Xi’an University of Posts and Telecommunications, Xi’an, China)
資料名:
Cognitive Neurodynamics
(Cognitive Neurodynamics)
巻:
16
号:
2
ページ:
325-336
発行年:
2022年
JST資料番号:
W4175A
ISSN:
1871-4099
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)