文献
J-GLOBAL ID:201802218426696978
整理番号:18A2060517
Gauss混合モデルとグレイレベル共起行列特徴を用いたEEG信号の時間周波数画像に基づくてんかん発作検出【JST・京大機械翻訳】
Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features
著者 (5件):
Li Yang
(School of Automation Science and Electrical Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing Advanced Innovation Center for Big Date-based Precision Medicine, Beihang University, Beijing, P. R. China)
,
Cui Weigang
(School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China)
,
Luo Meilin
(School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China)
,
Li Ke
(School of Aeronautic Science and Engineering, Beihang University, Beijing, P. R. China)
,
Wang Lina
(National Laboratory of Aerospace Intelligent Control Technology, Beijing Aerospace Automatic Control Institute, Beijing, P. R. China)
資料名:
International Journal of Neural Systems
(International Journal of Neural Systems)
巻:
28
号:
7
ページ:
1850003
発行年:
2018年
JST資料番号:
W0880A
ISSN:
0129-0657
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
シンガポール (SGP)
言語:
英語 (EN)