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OpenSim Musculoskeletal Modeling Framework for sEMG-Based Knee Torque Estimation

Authors :

Mohammad-Reza Sayyed Noorani¹ Mariya A. Vaziry² Seyed Alireza MirTajeddini³

1- University of Tabriz 2- University of Tabriz 3- University of Tabriz

Keywords :

Active Rehabilitation،Knee Torque Estimation،Hill-Type Musculoskeletal Model،sEMG signals،OpenSim

Abstract :

Active rehabilitation devices use sensors to monitor movement and assess a patient’s physiological capacity. Surface electromyography (sEMG) provides a non-invasive method for capturing muscle activity, while musculoskeletal models allow estimation of joint torque without bulky or expensive equipment. In this study, we developed a system that simultaneously records 2-channel sEMG and knee joint angles, integrated with a seated-leg musculoskeletal model in OpenSim via MATLAB. Experimental data were used to estimate muscle forces and compute net knee torque, yielding a peak torque of ~25 N·m, angular impulse of ~50 N·m·s, and average torque of ~12.5 N·m—values consistent with physiological expectations. This integrated approach offers a practical and cost-effective tool for real-time knee torque estimation, enabling improved assessment and monitoring in rehabilitation and biomechanical applications.