2020 Fiscal Year Research-status Report
Development of multiscale forward finite element musculoskeletal model for rehabilitation and artificial prosthesis design
| Project/Area Number |
20K20162
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| Research Institution | The University of Tokyo |
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Principal Investigator |
舒 利明 東京大学, 大学院工学系研究科(工学部), 特任研究員 (30838206)
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| Project Period (FY) |
2020-04-01 – 2022-03-31
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| Keywords | musculoskeletal model / ground reaction force / motion capture system / knee joint / biomechanics |
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| Outline of Annual Research Achievements |
A bioinspired multi-scale finite element musculoskeletal (FE-MS) model for investigating the individualized biomechanics of humans has been developed.
1. The generic whole body FE-MS model was developed and evaluated with experiments and commercial software (OpenSim, AnyBody).
2. An algorithm for the prediction of ground reaction force was developed and integrated with the FE-MS model. A preliminary evaluation shows state-of-the-art results.
3. An inertial motion capture system has been developed to extract the kinematic information of the subject and used in clinical research.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The generic whole body finite element musculoskeletal has been finished at the end of 2020. A super prediction accuracy was found compared with commercial musculoskeletal software.
The algorithm for the prediction of ground reaction force has been finished as the application scheduled.
The EMG integrated motor control with a wear motion capture system for musculoskeletal simulation has been partially finished.
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| Strategy for Future Research Activity |
The motor control mechanism of humans will be further investigated for developing the EMG-synergy integrated motor algorithm. Additionally, the whole body finite element musculoskeletal will be applied to decoding causal motor neuron behavior of humans.
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| Causes of Carryover |
コロナウイルスの影響により、昨年は旅費の予算が使われませんでした。 昨年の予算から約13万円が残りました。
残り額と2022年度の予算を合併してモーションキャプチャシステム(総額：161万円)を購入するつもりです。
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