Art

J-GLOBAL ID：201302281773829970   Reference number：13A1339782

Continuous Time Causality analysis and its application to epileptic seizure genesis

連続時間因果解析の多変量データへの適用とてんかん脳波への応用

Author (12)： HOSAKA Ryosuke (Fukuoka Univ.) ,  OHSAWA Shin-ichiro (Tohoku Univ. Graduate School of Medicine) ,  IWASAKI Masaki (Tohoku Univ. Graduate School of Medicine) ,  MATSUZAKA Yoshiaya (Tohoku Univ. Graduate School of Medicine) ,  TOMITA Hiroshi (Tohoku Univ.) ,  ISHIZUKA Toru (Tohoku Univ. Graduate School of Life Sci.) ,  SUGANO Eriko (Tohoku Univ.) ,  OKUMURA Eiichi (Tohoku Univ. Graduate School of Medicine) ,  YAWO Hiromu (Tohoku Univ. Graduate School of Life Sci.) ,  NAKASATO Nobukazu (Tohoku Univ. Graduate School of Medicine) ,  TOMINAGA Teiji (Tohoku Univ. Graduate School of Medicine) ,  MUSHIAKE Hajime (Tohoku Univ. Graduate School of Medicine)
Material： 電子情報通信学会技術研究報告  (IEICE Technical Report (Institute of Electronics, Information and Communication Engineers))
Volume： 113  Issue： 116(NLP2013 26-47)  Page： 87-91  Publication year： Jul. 01, 2013 
JST Material Number： S0532B  ISSN： 0913-5685  Document type： Proceedings
Article type： 短報  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *Epilepsy ,...
Semi thesaurus term： *causal analysis ,...

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JST classification (2)： Statistics  (AB08000H) ,  Brain and nervous system models  (EL02050C)

Terms in the title (6)： 連続時間 ,  解析 ,  多変量データ ,  てんかん ,  脳波 ,  応用