Literature DB >> 21792528

Role of optimization criterion in static asymmetric analysis of lumbar spine load.

Matej Daniel1.   

Abstract

A common method for load estimation in biomechanics is the inverse dynamics optimization, where the muscle activation pattern is found by minimizing or maximizing the optimization criterion. It has been shown that various optimization criteria predict remarkably similar muscle activation pattern and intra-articular contact forces during leg motion. The aim of this paper is to study the effect of the choice of optimization criterion on L4/L5 loading during static asymmetric loading. Upright standing with weight in one stretched arm was taken as a representative position. Musculoskeletal model of lumbar spine model was created from CT images of Visible Human Project. Several criteria were tested based on the minimization of muscle forces, muscle stresses, and spinal load. All criteria provide the same level of lumbar spine loading (difference is below 25%), except the criterion of minimum lumbar shear force which predicts unrealistically high spinal load and should not be considered further. Estimated spinal load and predicted muscle force activation pattern are in accordance with the intradiscal pressure measurements and EMG measurements. The L4/L5 spine loads 1312 N, 1674 N, and 1993 N were predicted for mass of weight in hand 2, 5, and 8 kg, respectively using criterion of mininum muscle stress cubed. As the optimization criteria do not considerably affect the spinal load, their choice is not critical in further clinical or ergonomic studies and computationally simpler criterion can be used.

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Year:  2011        PMID: 21792528     DOI: 10.1007/s10354-011-0904-8

Source DB:  PubMed          Journal:  Wien Med Wochenschr        ISSN: 0043-5341


  26 in total

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Journal:  J Biomech       Date:  2000-02       Impact factor: 2.712

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Journal:  J Biomech       Date:  2001-03       Impact factor: 2.712

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Authors:  F C Anderson; M G Pandy
Journal:  J Biomech       Date:  2001-02       Impact factor: 2.712

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Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2007-06       Impact factor: 3.802

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Journal:  J Biomech       Date:  1988       Impact factor: 2.712

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Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

8.  Loads on the lumbar spine. Validation of a biomechanical analysis by measurements of intradiscal pressures and myoelectric signals.

Authors:  A Schultz; G Andersson; R Ortengren; K Haderspeck; A Nachemson
Journal:  J Bone Joint Surg Am       Date:  1982-06       Impact factor: 5.284

Review 9.  Theories of bipedal walking: an odyssey.

Authors:  Christopher L Vaughan
Journal:  J Biomech       Date:  2003-04       Impact factor: 2.712

10.  Hierarchical genetic algorithm versus static optimization-investigation of elbow flexion and extension movements.

Authors:  Rositsa T Raikova; Hristo Ts Aladjov
Journal:  J Biomech       Date:  2002-08       Impact factor: 2.712

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  3 in total

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Journal:  J Orthop       Date:  2017-03-25

2.  A model-based approach for estimation of changes in lumbar segmental kinematics associated with alterations in trunk muscle forces.

Authors:  Iman Shojaei; Navid Arjmand; Judith R Meakin; Babak Bazrgari
Journal:  J Biomech       Date:  2017-10-06       Impact factor: 2.712

3.  Biomechanical analysis of INFINITY rehabilitation method for treatment of low back pain.

Authors:  Matej Daniel; Michaela Tomanová; Jana Hornová; Iva Novotná; Lenka Lhotská
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