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Title: Analysis Methods toward Brain-Machine Interfaces in Real Environments
Other Titles: 実環境BMIに向けた解析法に関する研究
Authors: Morioka, Hiroshi
Author's alias: 森岡, 博史
Keywords: Brain-machine interface (BMI)
Non-invasive measurement
Electroencephalography (EEG)
Near-infrared spectroscopy (NIRS)
Multisubject analysis
Issue Date: 23-Mar-2015
Publisher: 京都大学 (Kyoto University)
Conferring University: 京都大学
Degree Level: 新制・課程博士
Degree Discipline: 博士(情報学)
Degree Report no.: 甲第19126号
Degree no.: 情博第572号
Conferral date: 2015-03-23
Degree Call no.: 新制||情||100(附属図書館)
Degree Serial no.: 32077
Degree Affiliation: 京都大学大学院情報学研究科システム科学専攻
Examination Committee members: (主査)教授 石井 信, 教授 田中 利幸, 教授 加納 学
Provisions of the Ruling of Degree: 学位規則第4条第1項該当
Rights: In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Kyoto University's products or services.
DOI: 10.14989/doctor.k19126
URI: http://hdl.handle.net/2433/199450
Appears in Collections:140 Doctoral Dissertation (Informatics)

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