| Project/Area Number |
13450167
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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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 |
HOSHIMIYA Nozomu Tohoku University, Graduate School of Engineering, Professor, 大学院・工学研究科, 教授 (50005394)
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| Co-Investigator(Kenkyū-buntansha) |
FUTAMI Ryoko Tohoku University, Graduate School of Engineering, Associate Professor, 大学院・工学研究科, 助教授 (20156938)
WATANABE Takashi Tohoku University, Information Synergy Center, Associate Professor, 情報シナジーセンター, 助教授 (90250696)
KANOH Shin'ichiro Tohoku University, Graduate School of Engineering, Research Associate, 大学院・工学研究科, 助手 (00282103)
NAKATANI Hironori Riken, Brain Science Institute, Researcher, 脳科学総合研究センター, 研究員(研究職) (30333868)
HANDA Yasunobu Tohoku University, New Industry Creation Hatchery Center, Professor, 大学院・医学系研究科, 教授 (00111790)
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| Project Period (FY) |
2001 – 2003
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| Project Status |
Completed (Fiscal Year 2003)
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| Budget Amount *help |
¥11,500,000 (Direct Cost: ¥11,500,000)
Fiscal Year 2003: ¥2,100,000 (Direct Cost: ¥2,100,000)
Fiscal Year 2002: ¥5,600,000 (Direct Cost: ¥5,600,000)
Fiscal Year 2001: ¥3,800,000 (Direct Cost: ¥3,800,000)
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| Keywords | Functional Electrical Stimulation / Man-machine interface / Biosignals / Electroencephalogram / Action Potential / 活性炭電極 |
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| Research Abstract |
For developing the flexible human-computer interface systems for controlling the Functional Electrical Stimulation (FES) system, the measurement and analysis of biosignals were investigated as follows.
1.Measurement and categorization of nervous action potential
For use of the information included in action potential acquired from peripheral nerves as the input to the FES stimulator, the following techniques were established.
(1)high accuracy measurement of action potentials using cuff electrodes placed on the nerve bundle.
(2)algorisms of information extraction of sensory events from measured action potential sequences
2.Man-machine interface based in EEG and EOG
High S/N EEG and EOG measurement method and the information extraction methods from measured EEG and EOG data were investigated to develop the man-machine interface for FES system.
3.For the development of flexible FES system, the methods to acquire FES control commands (feedback information) from the biosignals using sensors were investigated.
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