Neurofeedback training for user adaptation to motor-imagery based BCI
| Project/Area Number |
23500483
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Fusional brain recording science
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| Research Institution | Tohoku Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
KAWASHIMA Ryuta 東北大学, 加齢医学研究所, 教授 (90250828)
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| Co-Investigator(Renkei-kenkyūsha) |
YOSHINOBU Tatsuo 東北大学, 大学院・医工学研究科, 教授 (30243265)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
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| Keywords | BCI / ニューロフィードバック / 脳波 / NIRS / 大脳運動野 |
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| Research Abstract |
The BCI (brain-computer interface) based on motor imagery is to detect the intension of subjects from their brain activities from sensorimotor cortex during imagining to move their own limbs. This study aimed to investigate the methodology to use neurofeedback training (NF), on which the processed EEG or NIRS (brain blood flow measured by near-infrared spectroscopy) data is presented to subject in real time, for improving the applicability and accuracy on motor-imagery based BCI. It was found that the motor related EEG on mu, beta and gamma band could be extracted by applying local and sparse spatial filters designed by ICA (independent component analysis) to measured EEG data, and such components could be used for neurofeedback training to improve the performance of motor-imagery based BCI.
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Report
(4 results)
Research Products
(41 results)
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[Journal Article] BCI Software Platforms2012
Author(s)
Shin’ichiro Kanoh et al.
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Journal Title
in: Brain-Computer Interfaces: Bridging the Gap from Research to Real-World Applications
Pages: 304-331
Related Report
Peer Reviewed
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[Book] Towards Practical Brain-Computer Interfaces : Bridging the Gap from Research to Real-World Applications2012
Author(s)
Brunner C., Andreoni G., Bianchi L., Blankertz B., Breitwieser C., Kanoh S., Kothe C.A., Lécuyer A., Makeig S., Mellinger J., Perego P., Renard Y., Schalk G., Susila I.P., Venthur B., Müller-Putz G.R
Publisher
BCI Software Platform
Related Report
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