MuscleParamEstimation

The combination of biomechanics software, OpenSim, and mathematical computing software, MATLAB, is used to estimate musculotendon parameters in musculoskeletal models through optimization methods.
The primary focus of the research centers around prediction tasks. Prior to parameter estimation, sensitivity analysis is performed to determine the desired tasks to be executed.
Multiple prediction tasks are executed to quantify the discrepancy between the predicted trajectories and the target trajectories, enabling the determination of parameter values for the evaluated muscles.
The optimal models resulting from the evaluation process are subjected to model validation to ensure their accuracy.

Author: Yi-Hsuan Lin, System Optimization Laboratory, Department of Mechanical Engineering, National Taiwan University

MATLAB Code (.m)

The main code are used for muscle parameter estimation and sensitivity analysis, detailed settings can be made in the json file.

User settings will be set in JSON file.

Users_settings_opt_BIC_1traj.json: Users settings in single trajectory case for optimization.
Users_settings_opt_BIC_2traj.json: Users settings in multiple trajectories case for optimization.
Users_settings_sa.json: Users settings for sensitivity analysis.

Files used to set up FWD and CMC simulations.

OpenSim_TaskKill.ps1: Forcibly end the execution of FWD, see method 2 in "f_fwd_get_traj" function for details.

The OpenSim model file (.osim) used in simulation.

Code and data for generating images in thesis

Functions needed to execute the main code

Folder for the generated desired motion.

Folder for the simulation results.