Iranian Journal of Biomedical Engineering (IJBME)
نشریه علمی مهندسی پزشکی زیستی

Integration of OpenSim Musculoskeletal Model with Surface EMG for simulation-based Knee Torque Estimation in Rehabilitation Applications

Document Type : Full Research Paper

Authors

MohammadReza Sayyed Noorani 1
Maria Vaziry 2

1 University of Tabriz

2 Department of Mechatronics Engineering, University of Tabriz

10.22041/ijbme.2026.2093504.2044
Abstract
Estimation of joint torque based on computational simulation is essential for the control and evaluation of active rehabilitation systems. While surface electromyography (sEMG) offers a non-invasive measure of muscle activation, musculoskeletal modeling enables the estimation of internal joint moments without reliance on costly dynamometers. In this study, we present an integrated framework that combines data from 2-channel sEMG recordings and knee angle measurements with a modified generic OpenSim musculoskeletal model of the seated leg, interfaced through MATLAB. Experimental data from a healthy participant were used to drive the model, estimate individual muscle forces, and compute the net knee extension torque. To this end, a forward dynamic simulation framework, where the muscle-driven excitations were derived from the measured sEMG signals to actuate the knee extensors and flexors in the OpenSim model. The estimated peak torque (~25 N·m), angular impulse (~50 N·m·s), and average torque (~12.5 N·m) were found to be consistent with physiological ranges reported in the literature. This framework provides a practical, cost-effective, and scalable solution for simulation-based knee torque monitoring as a proof-of-concept, with potential for future integration into sensor-driven rehabilitation devices and biomechanical assessment protocols.

Keywords

Knee Torque Estimation
Active Rehabilitation
Forward Dynamic Model
EMG-Driven Simulation
OpenSim/MATLAB API
Subjects
Iranian Journal of Biomedical Engineering (IJBME)
Volume 20, Issue 1
Spring 2026
Pages 27-38

  • Receive Date 05 July 2026
  • Revise Date 08 August 2026
  • Accept Date 12 August 2026

Home

Contact Us