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J-GLOBAL ID：202002265882424012   Reference number：20A0074389

aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection

新生児発作検出のためのアンサンブル学習によるAEEG信号解析【JST・京大機械翻訳】

Author (8)： Pan Yini (Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China) ,  Li Hongfeng (Center for Data Science in Health and Medicine, Peking University, Beijing, China) ,  Li Hongfeng (Beijing Institute of Big Data Research, Beijing, China) ,  Liu Lili (Department of Pediatrics, Peking University First Hospital, Beijing, China) ,  Li Quanzheng (Gordon Center for Medical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA) ,  Hou Xinlin (Department of Pediatrics, Peking University First Hospital, Beijing, China) ,  Dong Bin (Beijing Institute of Big Data Research, Beijing, China) ,  Dong Bin (Beijing International Center for Mathematical Research, Peking University, Beijing, China)
Material： Lecture Notes in Computer Science  (LNBI)
Volume： 11977  Page： 76-84  Publication year： 2020 
JST Material Number： H0078D  ISSN： 0302-9743  Document type： Proceedings
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Abstract/Point： Amplitude-integrated EEG (aEEG...

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Thesaurus term： SN ratio ,  higher dimension ,  algorithm ,  entropy ,  wave packet ,  learning algorithm ,  adaptability ,  *signal analysis ,  *seizure(disease) ,  noise reduction
Semi thesaurus term： 臨床データ ,  臨床医 ,  aEEG ,  *アンサンブル学習 ,  *新生児発作 , 【Automatic Indexing@JST】

Author keywords (3)： Seizure detection ,  aEEG signal ,  Ensemble learning

JST classification (1)： Artificial intelligence  (JE08000Z)

Terms in the title (4)： 新生児発作 ,  アンサンブル学習 ,  aEEG ,  信号解析