文献
J-GLOBAL ID:202202227561347607
整理番号:22A0957131
振動理論に基づく手の動き分類のための表面筋電図信号のリアルタイムモデリングと特徴抽出法【JST・京大機械翻訳】
Real-time modeling and feature extraction method of surface electromyography signal for hand movement classification based on oscillatory theory
著者 (8件):
Xiao Feiyun
(School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, People’s Republic of China)
,
Xiao Feiyun
(Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei 230009, People’s Republic of China)
,
Mu Jingsong
(School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, People’s Republic of China)
,
Mu Jingsong
(Department of Rehabilitation Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Anhui Provincial Hospital, Hefei, 230001, People’s Republic of China)
,
Lu Jieping
(Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230009, People’s Republic of China)
,
Dong Guangxu
(School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, People’s Republic of China)
,
Wang Yong
(School of Mechanical Engineering, Hefei University of Technology, Hefei 230009, People’s Republic of China)
,
Wang Yong
(Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei 230009, People’s Republic of China)
資料名:
Journal of Neural Engineering
(Journal of Neural Engineering)
巻:
19
号:
2
ページ:
026011 (13pp)
発行年:
2022年
JST資料番号:
W5563A
ISSN:
1741-2560
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)