Simulation-Driven sEMG Analysis: Validation of a Novel Approach for Active Muscle Fiber Type Quantification

Research Project

Project/Area Number	25K15294
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Multi-year Fund
Section	一般
Review Section	Basic Section 61050:Intelligent robotics-related
Research Institution	National Institute of Advanced Industrial Science and Technology
Principal Investigator	Costa・Garcia Alvaro 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 (10985550)
Co-Investigator(Kenkyū-buntansha)	村井昭彦国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究チーム長 (90637274)
Project Period (FY)	2025-04-01 – 2028-03-31
Project Status	Granted (Fiscal Year 2025)
Budget Amount *help	¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000) Fiscal Year 2027: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000) Fiscal Year 2026: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000) Fiscal Year 2025: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywords	muscle modelling / sEMG simulation / muscle fiber / specrral decomposition
Outline of Research at the Start	This project simulates muscle electrical signals to study how different muscle fiber types affect their frequency characteristics. By analyzing these effects, we aim to improve methods for assessing neuromuscular activity and enhance the understanding of muscle function in health and disease.