Method to extract feedback data for neurofeedback training of motor-imagery based BCI
| Project/Area Number |
15K01852
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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 |
Brain biometrics
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| Research Institution | Shibaura Institute of Technology |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | BCI / 運動想起 / ニューロフィードバック / 信号源推定 / 信号限推定 / ICA / PCA |
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| Outline of Final Research Achievements |
To improve detection accuracy of motor-imagery based BCI using EEG signal, the method to extract feedback data for neurofeedback training was investigated. It was shown that the application of spatial filter to multi-channel EEG improved the effect of neurofeedback training. It was also shown that the effect of neurofeedback training could be improved if the feedback data was obtained from the cortical current which was estimated from the surface multi-channel EEG.
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Report
(4 results)
Research Products
(40 results)
