Shingo Shimoda 研究室
主宰者:Shingo Shimoda
名古屋大学
AI 要約(直近 5 年の研究成果)
要約はまだ生成されていません。
※ AI(Claude)が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。
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関連研究室
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研究成果(53 件)
- DOI: https://doi.org/10.1038/s41598-026-45687-8
- [2026] Dopaminergic medication alters muscle synergy during sit-to-stand motion in Parkinson’s diseaseDOI: https://doi.org/10.3389/fneur.2026.1753476
- DOI: https://doi.org/10.1177/15500594251410820
- DOI: https://doi.org/10.1109/robosoft67810.2026.11522839
- DOI: https://doi.org/10.1038/s41598-025-88647-4
- DOI: https://doi.org/10.1109/tnsre.2025.3557777
- DOI: https://doi.org/10.1016/j.jbmt.2025.01.040
- DOI: https://doi.org/10.3389/fbioe.2025.1639630
- DOI: https://doi.org/10.1371/journal.pone.0319162
- [2025] A Microscopic Vision-Based Method for Enhancing the Printing Accuracy of Microfluidic PrinterDOI: https://doi.org/10.1109/tmech.2025.3542555
続きを表示(残り 43 件)閉じる
- DOI: https://doi.org/10.5220/0012305000003657
- DOI: https://doi.org/10.1002/advs.202470268
- DOI: https://doi.org/10.1002/advs.202403622
- [2024] A Modular Spiking Neural Network-Based Neuro-Robotic System for Exploring Embodied Intelligence*DOI: https://doi.org/10.1109/icarm62033.2024.10715795
- [2024] Dynamic causal model application on hierarchical human motor control estimation in visuomotor tasksDOI: https://doi.org/10.3389/fneur.2023.1302847
- DOI: https://doi.org/10.1299/jsmermd.2024.2p2-j06
- [2023] Enriched sensory feedback delivered during a voluntary action boosts subjective time compressionDOI: https://doi.org/10.3389/fpsyg.2023.1140569
- [2023] Special issue on robot and human interactive communication 2023 (selected papers from RO-MAN 2022)DOI: https://doi.org/10.1080/01691864.2023.2292318
- DOI: https://doi.org/10.1016/j.jns.2023.121636
- DOI: https://doi.org/10.1109/mra.2023.3293303
- DOI: https://doi.org/10.1109/lra.2023.3301233
- DOI: https://doi.org/10.3390/s23094188
- DOI: https://doi.org/10.34133/cbsystems.0032
- [2023] Pattern Matching for Real-Time Extraction of Fast and Slow Spectral Components From sEMG SignalsDOI: https://doi.org/10.1109/tnsre.2023.3311037
- DOI: https://doi.org/10.1177/20552076231164239
- [2023] Brain activities for Open Intelligence : Application of Brain Science for Behavior AdaptationDOI: https://doi.org/10.7210/jrsj.41.591
- DOI: https://doi.org/10.1299/jsmermd.2023.2a1-g25
- DOI: https://doi.org/10.7210/jrsj.40.665
- DOI: https://doi.org/10.7210/jrsj.40.659
- DOI: https://doi.org/10.1007/s00455-022-10523-4
- DOI: https://doi.org/10.1109/rcar54675.2022.9872184
- DOI: https://doi.org/10.3233/shti220291
- DOI: https://doi.org/10.1038/s41378-022-00394-y
- DOI: https://doi.org/10.1109/arso54254.2022.9802962
- DOI: https://doi.org/10.1109/arso54254.2022.9802977
- [2022] Quantification of high and low sEMG spectral components during sustained isometric contractionDOI: https://doi.org/10.14814/phy2.15296
- DOI: https://doi.org/10.1002/ar.24910
- DOI: https://doi.org/10.1038/s41598-022-21261-w
- DOI: https://doi.org/10.3389/fnsys.2022.785143
- DOI: https://doi.org/10.1080/01691864.2022.2042892
- DOI: https://doi.org/10.1109/sii52469.2022.9708891
- DOI: https://doi.org/10.1080/01691864.2022.2023401
- DOI: https://doi.org/10.1039/d1lc01149a
- DOI: https://doi.org/10.1177/20552076221129074
- DOI: https://doi.org/10.1299/jsmermd.2021.2p1-d06
- DOI: https://doi.org/10.1080/01691864.2021.2011780
- DOI: https://doi.org/10.3390/brainsci11111537
- DOI: https://doi.org/10.1038/s41598-021-92946-x
- [2021] Micro Robotic Manipulation System for the Force Stimulation of Muscle Fiber-like Cell StructureDOI: https://doi.org/10.1109/icra48506.2021.9560846
- DOI: https://doi.org/10.1080/01691864.2021.1928547
- DOI: https://doi.org/10.1016/j.robot.2021.103784
- [2021] Classification of Motor Impairments of Post-Stroke Patients Based on Force Applied to a HandrailDOI: https://doi.org/10.1109/tnsre.2021.3127504
- DOI: https://doi.org/10.7144/sgf.27.22
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