Musculoskeletal computational model optimization: the critical role of markers error adjustments

Marker error affects musculoskeletal (MSK) modeling outputs. For effective marker set optimization it is essential to examine the errors of all markers. Data of 11 subjects were collected during a single-leg forward jump-landing (FJ). OpenSim Inverse Kinematics (IK) was performed and maximum (max) error of each marker was attained. Decreased max errors were observed after adjusting all markers needed. Differences before and after adjustments were detected in the lower extremity (LE) joint angles. Thus, it is critical to measure and identify all markers’ error to increase subject-specific modeling accuracy.