Iranian Journal of Biomedical Engineering (IJBME)
نوع مقاله : مقاله کامل پژوهشی
نویسندگان
1 دانشیار گروه مهندسی مکاترونیک، دانشکده مهندسی مکانیک، دانشگاه تبریز
2 گروه مهندسی مکاترونیک، دانشگاه تبریز
کلیدواژهها
عنوان مقاله English
نویسندگان English
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.
کلیدواژهها English
