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J-GLOBAL ID：202202277594971255   整理番号：22A0978895

てんかん認識の応用におけるSEEG信号処理法【JST・京大機械翻訳】

SEEG signal processing methods in the application of epilepsy recognition

著者 (12件)： Wang Aiping (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Wang Junkongshuai (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Liu Lusheng (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Mu Wei (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Wang Pengchao (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Zhang Jing (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Song Zuoting (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Zhang Yuan (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Zhan Gege (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Zhang Xuze (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Zhang Lihua (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...) ,  Kang Xiaoyang (Fudan University,Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics,MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, I...)
資料名： IEEE Conference Proceedings  (IEEE Conference Proceedings)
巻： 2022  号： BCI  ページ： 1-6  発行年： 2022年 
JST資料番号： W2441A  資料種別： 会議録 (C)
記事区分： 原著論文  発行国： アメリカ合衆国 (USA)  言語： 英語 (EN)

抄録/ポイント： 侵襲性脳-コンピュータインタフェイスは,脳に電極アレイを埋め込むことにより頭蓋内電気生理学を直接記録するために大規模サンプリングを用いる。てんかん,アルツハイマー病,および脳卒中などの精神疾患を治療するのに広く使用されている。近年,SEEG信号を分析し,脳精神病を得る研究が増加している。一般的に使用される解析法は,高周波振動あるいは機能的連結性変化の定量化を含む。本稿では,てんかんの治療における侵襲性脳-コンピュータインタフェースの主な技術的方法および関連する応用をレビューした。加えて,本論文は,てんかんの治療におけるSEEGの長所と将来の発展をまとめた。Copyright 2022 The Institute of Electrical and Electronics Engineers, Inc. All rights reserved. Translated from English into Japanese by JST.【JST・京大機械翻訳】

シソーラス用語： *信号処理 ,  精神病 ,  *てんかん ,  脳卒中 ,  連結性 ,  Alzheimer病
準シソーラス用語： 電極アレイ ,  ブレインコンピュータインタフェイス ,  頭蓋 ,  電気生理学 , 【Automatic Indexing@JST】

分類 (1件)： 図形・画像処理一般  (JE04010I)

タイトルに関連する用語 (4件)： てんかん ,  応用 ,  SEEG ,  処理法