A combined passive and active musculoskeletal model study to estimate L4-L5 load sharing

Journal of Biomechanics
F AzariT Rahimi-Moghaddam

Abstract

A number of geometrically-detailed passive finite element (FE) models of the lumbar spine have been developed and validated under in vitro loading conditions. These models are devoid of muscles and thus cannot be directly used to simulate in vivo loading conditions acting on the lumbar joint structures or spinal implants. Gravity loads and muscle forces estimated by a trunk musculoskeletal (MS) model under twelve static activities were applied to a passive FE model of the L4-L5 segment to estimate load sharing among the joint structures (disc, ligaments, and facets) under simulated in vivo loading conditions. An equivalent follower (FL), that generates IDP equal to that generated by muscle forces, was computed in each task. Results indicated that under in vivo loading conditions, the passive FE model predicted intradiscal pressures (IDPs) that closely matched those measured under the simulated tasks (R2=0.98 and root-mean-squared-error, RMSE=0.18MPa). The calculated equivalent FL compared well with the resultant force of all muscle forces and gravity loads acting on the L4-L5 segment (R2=0.99 and RMSE=58N). Therefore, as an alternative approach to represent in vivo loading conditions in passive FE model studies, this FL can be ...Continue Reading

Citations

Jan 27, 2019·International Journal for Numerical Methods in Biomedical Engineering·Iraj Dehghan-HamaniAboulfazl Shirazi-Adl
Oct 19, 2019·Biomaterials Science·Amir A Zadpoor
Jun 28, 2018·Annals of Biomedical Engineering·P Khoddam-KhorasaniA Shirazi-Adl
Nov 9, 2019·Journal of Materials Chemistry. B, Materials for Biology and Medicine·Amir A Zadpoor
Apr 3, 2020·BMC Musculoskeletal Disorders·Fatemeh NouriJi Yun Lee
Oct 14, 2020·Journal of Applied Biomechanics·Liana M TennantJack P Callaghan
Jun 12, 2021·International Journal for Numerical Methods in Biomedical Engineering·Samuele L GouldMarco Viceconti
Aug 3, 2021·Computer Methods and Programs in Biomedicine·Minhye Jo, Soo-Won Chae

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