文献
J-GLOBAL ID:201702227487208435
整理番号:17A1346830
最小雑音推定フィルタ:電場電位のための新しい自動化アーチファクトの除去法【Powered by NICT】
Minimum Noise Estimate Filter: A Novel Automated Artifacts Removal Method for Field Potentials
著者 (4件):
Foodeh Reza
(Biomedical Engineering Department, School of Electrical Engineering, Neuroscience and Neuroengineering Research Lab, Iran University of Science & Technology (IUST), Narmak, Tehran, Iran)
,
Khorasani Abed
(Biomedical Engineering Department, School of Electrical Engineering, Neuroscience and Neuroengineering Research Lab, Iran University of Science & Technology (IUST), Narmak, Tehran, Iran)
,
Shalchyan Vahid
(Biomedical Engineering Department, School of Electrical Engineering, Neuroscience and Neuroengineering Research Lab, Iran University of Science & Technology (IUST), Narmak, Tehran, Iran)
,
Daliri Mohammad Reza
(Biomedical Engineering Department, School of Electrical Engineering, Neuroscience and Neuroengineering Research Lab, Iran University of Science & Technology (IUST), Narmak, Tehran, Iran)
資料名:
IEEE Transactions on Neural Systems and Rehabilitation Engineering
(IEEE Transactions on Neural Systems and Rehabilitation Engineering)
巻:
25
号:
8
ページ:
1143-1152
発行年:
2017年
JST資料番号:
W0560A
ISSN:
1534-4320
CODEN:
ITNSB3
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)