Article ID Journal Published Year Pages File Type
872730 Journal of Biomechanics 2010 7 Pages PDF
Abstract

Despite recent advances in modeling of the human spine, simplifying assumptions are still required to tackle complexities. Such assumptions need to be scrutinized to assess their likely impacts on predictions. A comprehensive comparison of muscle forces and spinal loads estimated by a single-joint (L5–S1) optimisation-assisted EMG-driven (EMGAO) and a multi-joint Kinematics-driven (KD) model of the spine under symmetric (symmetric trunk flexion from neutral upright to maximum forward flexion) and asymmetric (holding a load at various heights in the right hand) activities is carried out. Regardless of the task simulated, the KD model predicted greater activities in extensor muscles as compared to the EMGAO model. Such differences in the symmetric tasks was due mainly to the distinct approaches to resolve the redundancy while in the asymmetric tasks they were due also to the different methods used to estimate joint moments. Shear and compression forces were generally higher in the KD model. Differences in predictions between these modeling approaches varied depending on the task simulated and the joint considered in the single-joint EMGAO model. The EMGAO model should incorporate a multi-joint strategy to satisfy equilibrium at different levels while the KD model should benefit from recorded EMG activities of the antagonistic muscles to supplement input measured kinematics.

Related Topics
Physical Sciences and Engineering Engineering Biomedical Engineering
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