文献
J-GLOBAL ID:202002239684386360
整理番号:20A1560491
異常検出生成敵対ネットワークを用いた後耳EEGで記録された焦点発症発作に対する教師なし自動発作検出【JST・京大機械翻訳】
Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial network
著者 (8件):
You Sungmin
(Department of Biomedical Engineering, Hanyang University, Seoul, South Korea)
,
Cho Baek Hwan
(Medical AI Research Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea)
,
Cho Baek Hwan
(Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea)
,
Yook Soonhyun
(Department of Biomedical Engineering, Hanyang University, Seoul, South Korea)
,
Kim Joo Young
(Department of Biomedical Engineering, Hanyang University, Seoul, South Korea)
,
Shon Young-Min
(Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea)
,
Seo Dae-Won
(Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea)
,
Kim In Young
(Department of Biomedical Engineering, Hanyang University, Seoul, South Korea)
資料名:
Computer Methods and Programs in Biomedicine
(Computer Methods and Programs in Biomedicine)
巻:
193
ページ:
Null
発行年:
2020年
JST資料番号:
D0213C
ISSN:
0169-2607
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アイルランド (IRL)
言語:
英語 (EN)