| Project/Area Number |
19560414
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Measurement engineering
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| Research Institution | Tohoku University |
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Principal Investigator |
KANOH Shin'ichiro Tohoku University, 大学院・工学研究科, 助教 (00282103)
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| Co-Investigator(Kenkyū-buntansha) |
YOSHINOBU Tatsuo 東北大学, 大学院・工学研究科, 教授 (30243265)
KAWASHIMA Ryuta 東北大学, 加齢医学研究所, 教授 (90250828)
星宮 望 東北学院大学, 学長 (50005394)
半田 康延 東北大学, 大学院・医学系研究科, 教授 (00111790)
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| Co-Investigator(Renkei-kenkyūsha) |
HOSHIMIYA Nozumu 東北学院大学, 学長 (50005394)
HANDA Yasunobu 東北大学, 大学院・医学系研究科, 教授 (00111790)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2009: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2008: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2007: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | BCI(brain-computer interface) / 脳波 / NIRS / fMRI / ニューロフィードバック / パターン分類 / 計測工学 / 神経科学 / 脳・神経 / 生物・生体工学 / 情報工学 / BCI (brain-computer interface) / 脳・コンピュータ間インターフェース |
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| Research Abstract |
The methods to improve user-applicability of BCI (brain-computer interface) using non-invasive measurements of brain activity were proposed and investigated. The methodologies of feature extraction, pattern classification and online neurofeedback were studied by EEG, NIRS (near-infrared spectroscopy) and fMRI measurements. And the BCIs based on event-related potentials (ERPs) with higher usability were proposed and evaluated.
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