Computational Motor Control Approach for Aging
Project/Area Number |
15K12597
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Rehabilitation science/Welfare engineering
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Research Institution | Nagaoka University of Technology |
Principal Investigator |
Wada Yasuhiro 長岡技術科学大学, 工学研究科, 教授 (70293248)
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Co-Investigator(Kenkyū-buntansha) |
大石 潔 長岡技術科学大学, 工学研究科, 教授 (40185187)
南部 功夫 長岡技術科学大学, 工学研究科, 准教授 (40553235)
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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 |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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Keywords | 計算論的モデル / 脳波 / 筋電 / fNIRS / 運動制御 / 計算論 / 等時性 / 機能的結合 / 位相同期 |
Outline of Final Research Achievements |
If it becomes possible to evaluate the decrease of human motor function, we can expect that the possibility of maintaining health status will increase. Based on the findings of the brain computational approach, we conducted fundamental research and development to evaluate changes in motor function from a computational model by combining both physical movement measurement and brain imaging measurement, and the following results was obtained. Simultaneous measurement of motion trajectories, electromyograms, electroencephalograms (EEG) that are considered to follow isochronic motion (eight letter motion, double elliptical motion) and Fitts' law, measure data of healthy subjects, we verified the validity of the proposed model. We also developed a simple method of real time scalp blood flow removal of fNIRS signal to apply fNIRS to the research.
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Report
(4 results)
Research Products
(16 results)
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[Journal Article] Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes2016
Author(s)
Sato T, Nambu I, Takeda K, Aihara T, Yamashita O, Isogaya Y, Inoue Y, Otaka Y, Wada Y, Kawato M, Sato MA, Osu R
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Journal Title
Neuroimage
Volume: 141
Pages: 120-132
DOI
Related Report
Peer Reviewed / Open Access / Acknowledgement Compliant
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