文献
J-GLOBAL ID:202102220947509933
整理番号:21A0578585
リアルタイム筋電図信号を用いたAIベースの脳卒中疾患予測システム【JST・京大機械翻訳】
AI-Based Stroke Disease Prediction System Using Real-Time Electromyography Signals
著者 (6件):
Yu Jaehak
(Department of KSB Convergence Research, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea)
,
Park Sejin
(Department of KSB Convergence Research, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea)
,
Kwon Soon-Hyun
(Department of KSB Convergence Research, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea)
,
Ho Chee Meng Benjamin
(Department of KSB Convergence Research, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea)
,
Pyo Cheol-Sig
(Department of KSB Convergence Research, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea)
,
Lee Hansung
(School of Computer Engineering, Youngsan University, 288 Junam-Ro, Yangsan, Gyeongnam 50510, Korea)
資料名:
Applied Sciences (Web)
(Applied Sciences (Web))
巻:
10
号:
19
ページ:
6791
発行年:
2020年
JST資料番号:
U7135A
ISSN:
2076-3417
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)