Predictive Simulations of Neuromuscular Coordination and Joint-Contact Loading in Human Gait

• Published in: Annals of biomedical engineering 2018-08, Vol.46 (8), p.1216-1227
• Main Authors: Lin, Yi-Chung, Walter, Jonathan P., Pandy, Marcus G.
• Format: Article
• Language: English
• Subjects: Aged; Aged, 80 and over; Arthroplasty (knee); Biobehavioral Sciences; Biochemistry; Biological and Medical Physics; Biomechanical Phenomena; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedical materials; Biomedicine; Biophysics; Classical Mechanics; Collocation; Computer simulation; Contact loads; Coordination; Female; Foot Joints - physiology; Gait; Gait - physiology; Humans; Joint surgery; Kinematics; Knee; Knee Joint - physiology; Male; Mathematical models; Models, Biological; Muscle contraction; Muscle, Skeletal - physiology; Muscles; Optimization; Performance prediction; Postural Balance - physiology; Predictive Value of Tests; Surgical implants; Three dimensional models; Tracking; Translations; Walking; Walking - physiology
• ISSN: 0090-6964; 1573-9686
• DOI: 10.1007/s10439-018-2026-6

ABSTRACT We implemented direct collocation on a full-body neuromusculoskeletal model to calculate muscle forces, ground reaction forces and knee contact loading simultaneously for one cycle of human gait. A data-tracking collocation problem was solved for walking at the normal speed to establish the practicality of incorporating a 3D model of articular contact and a model of foot–ground interaction explicitly in a dynamic optimization simulation. The data-tracking solution then was used as an initial guess to solve predictive collocation problems, where novel patterns of movement were generated for walking at slow and fast speeds, independent of experimental data. The data-tracking solutions accurately reproduced joint motion, ground forces and knee contact loads measured for two total knee arthroplasty patients walking at their preferred speeds. RMS errors in joint kinematics were