文献
J-GLOBAL ID:201902233790309483
整理番号:19A2918085
ロボット支援神経リハビリテーションのための神経筋活性化ベースのSEMG-トルクハイブリッドモデリングおよび最適化【JST・京大機械翻訳】
Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation
著者 (14件):
Wang Weiqun
(The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
,
Wang Weiqun
(University of Chinese Academy of Sciences, Beijing, People’s Republic of China)
,
Hou Zeng-Guang
(The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
,
Hou Zeng-Guang
(University of Chinese Academy of Sciences, Beijing, People’s Republic of China)
,
Hou Zeng-Guang
(The CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, China)
,
Shi Weiguo
(The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
,
Shi Weiguo
(University of Chinese Academy of Sciences, Beijing, People’s Republic of China)
,
Liang Xu
(The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
,
Liang Xu
(University of Chinese Academy of Sciences, Beijing, People’s Republic of China)
,
Ren Shixin
(The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
,
Ren Shixin
(University of Chinese Academy of Sciences, Beijing, People’s Republic of China)
,
Wang Jiaxing
(The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
,
Wang Jiaxing
(University of Chinese Academy of Sciences, Beijing, People’s Republic of China)
,
Peng Liang
(The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
11954
ページ:
591-602
発行年:
2019年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)