Predictive simulations of neuromuscular coordination and joint-contact loading in human gait
Journal article
Lin, Yi-Chung, Walter, Jonathan P. and Pandy, Marcus G.. (2018). Predictive simulations of neuromuscular coordination and joint-contact loading in human gait. Annals of Biomedical Engineering. 46(8), pp. 1216-1227. https://doi.org/10.1007/s10439-018-2026-6
Authors | Lin, Yi-Chung, Walter, Jonathan P. and Pandy, Marcus G. |
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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 < 2.0° for rotations and < 0.3 cm for translations while errors in the model-computed ground-reaction and knee-contact forces were < 0.07 BW and < 0.4 BW, respectively. The predictive solutions were also consistent with joint kinematics, ground forces, knee contact loads and muscle activation patterns measured for slow and fast walking. The results demonstrate the feasibility of performing computationally-efficient, predictive, dynamic optimization simulations of movement using full-body, muscle-actuated models with realistic representations of joint function. |
Keywords | musculoskeletal model; dynamic optimization; collocation; knee contact model; foot–ground interaction |
Year | 2018 |
Journal | Annals of Biomedical Engineering |
Journal citation | 46 (8), pp. 1216-1227 |
Publisher | Springer |
ISSN | 0090-6964 |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s10439-018-2026-6 |
Scopus EID | 2-s2.0-85045693494 |
Open access | Published as green open access |
Research or scholarly | Research |
Page range | 1216-1227 |
Funder | Australian Research Council (ARC) |
Author's accepted manuscript | License All rights reserved File Access Level Open |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 18 Apr 2018 |
Publication process dates | |
Accepted | 11 Apr 2018 |
Deposited | 19 Aug 2022 |
ARC Funded Research | This output has been funded, wholly or partially, under the Australian Research Council Act 2001 |
Grant ID | DP160104366 |
https://acuresearchbank.acu.edu.au/item/8y22v/predictive-simulations-of-neuromuscular-coordination-and-joint-contact-loading-in-human-gait
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AM_Lin_2018_Predictive_simulations_of_neuromuscular_coordination_and.pdf | |
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File access level: Open |
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