文献
J-GLOBAL ID:202002230087427507
整理番号:20A1354785
アルツハイマー病における脳波信号の複雑性と同期に基づく分類方法【JST・京大機械翻訳】
Classification Methods Based on Complexity and Synchronization of Electroencephalography Signals in Alzheimer’s Disease
著者 (8件):
Nobukawa Sou
(1Department of Computer Science, Chiba Institute of Technology, Narashino, Japan)
,
Yamanishi Teruya
(2AI & IoT Center, Department of Management Information Science, Fukui University of Technology, Fukui, Japan)
,
Kasakawa Shinya
(2AI & IoT Center, Department of Management Information Science, Fukui University of Technology, Fukui, Japan)
,
Nishimura Haruhiko
(3Graduate School of Applied Informatics, University of Hyogo, Kobe, Japan)
,
Kikuchi Mitsuru
(4Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan)
,
Kikuchi Mitsuru
(5Department of Psychiatry & Behavioral Science, Kanazawa University, Ishikawa, Japan)
,
Takahashi Tetsuya
(4Research Center for Child Mental Development, Kanazawa University, Kanazawa, Japan)
,
Takahashi Tetsuya
(6Department of Neuropsychiatry, University of Fukui, Yoshida, Japan)
資料名:
Frontiers in Psychiatry (Web)
(Frontiers in Psychiatry (Web))
巻:
11
ページ:
255
発行年:
2020年
JST資料番号:
U7095A
ISSN:
1664-0640
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)