Title of article
A novel stability and kinematics-driven trunk biomechanical model to estimate muscle and spinal forces
Author/Authors
Hajihosseinali، نويسنده , , M. and Arjmand، نويسنده , , N. and Shirazi-Adl، نويسنده , , A. and Farahmand، نويسنده , , F. and Ghiasi، نويسنده , , M.S.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2014
Pages
9
From page
1296
To page
1304
Abstract
An anatomically detailed eighteen-rotational-degrees-of-freedom model of the human spine using optimization constrained to equilibrium and stability requirements is developed and used to simulate several symmetric tasks in upright and flexed standing postures. Predictions of this stability and kinematics-driven (S + KD) model for trunk muscle forces and spine compressive/shear loads are compared to those of our existing kinematics-driven (KD) model where both translational and rotational degrees-of-freedom are included but redundancy is resolved using equilibrium conditions alone. Unlike the KD model, the S + KD model predicted abdominal co-contractions that, in agreement with electromyography data, increased as lifting height increased at a constant horizontal moment arm. The S + KD model, however, could not fully explain the CNS strategy in activating antagonistic muscles for most of the remaining tasks. Despite quite distinct activities in individual muscles, both models predicted L4-L5 intradiscal pressure that matched the in vivo data, the L4-S1 compression loads, and the sum of all trunk muscle forces. For modeling applications in ergonomics, where the compressive spine loads are of interest, the two models yielded <15% difference. In the field of rehabilitation, where detailed muscle forces are required, the S + KD model explained more properly the CNS strategy in activating the antagonistic muscles for some tasks.
Keywords
Spine loads , Muscle forces , Trunk model , Kinematics , optimization , stability
Journal title
Medical Engineering and Physics
Serial Year
2014
Journal title
Medical Engineering and Physics
Record number
1732794
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