| Project/Area Number |
10558128
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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 | 展開研究 |
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| Research Field |
Biomedical engineering/Biological material science
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| Research Institution | Tohoku University |
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Principal Investigator |
HOSHIMIYA Nozomu Graduate School of Engineering, Tohoku University, Professor, 大学院・工学研究科, 教授 (50005394)
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| Co-Investigator(Kenkyū-buntansha) |
KANOH Shin'ichiro Graduate School of Engineering, Tohoku University, Research Associate, 大学院・工学研究科, 助手 (00282103)
WATANABE Takashi Graduate School of Engineering, Tohoku University, Assistant Professor, 大学院・工学研究科, 講師 (90250696)
FUTAMI Ryoko Graduate School of Engineering, Tohoku University, Associate Professor, 大学院・工学研究科, 助教授 (20156938)
HANDA Yasunobu New Industry Creation Hatchery Center, Tohoku University, Professor, 未来科学技術共同研究センター, 教授 (00111790)
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| Project Period (FY) |
1998 – 2000
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| Project Status |
Completed (Fiscal Year 2000)
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| Budget Amount *help |
¥10,300,000 (Direct Cost: ¥10,300,000)
Fiscal Year 2000: ¥1,600,000 (Direct Cost: ¥1,600,000)
Fiscal Year 1999: ¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 1998: ¥5,200,000 (Direct Cost: ¥5,200,000)
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| Keywords | functional electrical stimulation / FES / restoring motor function / musculoskeletal system / standing up / simulation / stimulation data / control command / ニューラルネット / 片麻痺 / リーチング / パラメータ同定 / 強化現象 / 筋・骨格モデル / 刺激パターン / 動的最適化 / マン・マシン・インターフェイス / 筋疲労 |
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| Research Abstract |
(1) Musculoskeletal model was developed and computer simulation of standing up motion was implemented. Generation of stimulation data for standing up motion was achieved by the computer simulation using the musculoskeletal model with the optimizing method. Comparison between EMG signals of normals and the generated stimulation data showed that the method of using model simulation and the optimization was effective in generating standard stimulation data.
(2) Torque generator model and parameter identification method of the model was proposed for representation of a certain patient. Computer simulation could predict responses caused by stimulating one knee extensor muscle of a normal subject. A musculoskeletal model including nonlinear characteristics and geometric structure of the musculoskeletal system was also studied. Part of experimental results with normal subjects was predicted after parameter tuning by trial and error manner.
(3) For modeling of nonlinear and time variable charact
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eristics, i) it was found that muscle potentiation occurred at 20Hz of stimulus frequency that used in clinical applications of FES.ii) M-waves and near infrared spectroscopy was found to be useful in muscle fatigue detection. iii) muscle activation model based on the playsiology was developed ant predictions of the potentiation and the catch property in muscle response was predicted by the model.
(4) A detection method of control commands that were represented by specific movements was proposed for system operation by motor disabled patients. Movements of normal subjects and a C5-6 qtuadriplegic patient measured by a 3 dimensional position sensor or an accelerometer could be recognized by an artificial neural network.
(5) A method of reaching target detection was proposed for arbitrary reaching restoration assuming patients who used the wheelchair. Reaching target detection system was composed of a laser pointer and 3 dimensional position/angle sensors. The detection system was found to be useful in practical. Less
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