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Updated: May 31, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
Published on: April 11, 2018
3D Fiber-Reinforced Forward Musculoskeletal Modeling of the Lower Limb Using HD-sEMG and CFD-FE Coupling
Rongwu Lai1,2, Yongtao Lyu2, Jiaxuan Li1
1School of Mechanical Engineering, Dalian University of Technology, Dalian, 116024, China.
Purpose:
Accurate representation of three-dimensional muscle mechanics is critical for constructing physics-informed digital twins of the human musculoskeletal system. The purpose of this study was to develop a forward musculoskeletal modeling framework that directly links electrophysiological activation to three-dimensional muscle deformation and force transmission.
Methods:
Subject-specific muscle geometry and fiber architecture were reconstructed in three dimensions. Spatially resolved activation patterns extracted from HD-sEMG were mapped onto the muscle domain to drive active contraction. An anisotropic hyperelastic constitutive model with embedded fiber reinforcement was implemented through a user-defined material subroutine in Abaqus to represent both passive and active muscle behavior. Forward simulations of hip abduction, flexion, and extension were conducted.
Results:
The proposed framework reproduced physiologically realistic muscle deformation and non-uniform fiber-level stress-strain distributions during active contraction. Muscle activation drove coordinated joint motion in a forward modeling manner without requiring inverse dynamics-based optimization. Predicted hip joint kinematics showed reasonable agreement with motion capture-derived joint angles across all simulated movements, while the simulated muscle contraction velocities remained within physiological ranges reported in the literature.
Conclusion:
By directly coupling HD-sEMG-derived activation with three-dimensional fiber-reinforced muscle mechanics, this framework overcomes key limitations of conventional musculoskeletal models. The proposed approach enables subject-specific, predictive simulation of muscle function and provides a robust foundation for applications in surgical planning, rehabilitation assessment, and implant-tissue interaction analysis.
