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Lumbar spinal ligament characteristics extracted from stepwise reduction experiments allow for preciser modeling than literature data

机译:从逐步减少实验中提取的腰椎韧带特性允许比文献数据的预体建模

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摘要

Lumbar ligaments play a key role in stabilizing the spine, particularly assisting muscles at wide-range movements. Hence, valid ligament force-strain data are required to generate physiological model predictions. These data have been obtained by experiments on single ligaments or functional units throughout the literature. However, contrary to detailed spine geometries, gained, for instance, from CT data, ligament characteristics are often inattentively transferred to multi-body system (MBS) or finite element models. In this paper, we use an elaborated MBS model of the lumbar spine to demonstrate how individualized ligament characteristics can be obtained by reversely reenacting stepwise reduction experiments, where the range of motion (ROM) was measured. We additionally validated the extracted characteristics with physiological experiments on intradiscal pressure (IDP). Our results on a total of in each case 160 ROM and 49 IDP simulations indicated superiority of our procedure (seven and eight outliers) toward the incorporation of classical literature data (on average 71 and 31 outliers).
机译:腰椎韧带在稳定脊柱方面发挥着关键作用,特别是在广泛的运动中辅助肌肉。因此,有效的韧带力 - 应变数据需要产生生理模型预测。通过在整个文献中的单韧带或功能单元上进行实验获得了这些数据。然而,与详细的脊柱几何形状相反,例如,从CT数据中获得,韧带特性通常是无期前地转移到多体系(MBS)或有限元模型。在本文中,我们使用腰椎的阐述MBS模型来证明通过逆转逐步减少实验,可以如何获得个体化韧带特征,其中测量运动范围(ROM)。我们另外验证了在体内压力(IDP)的生理实验中提取的特征。我们的结果总共有160个ROM和49个IDP模拟,指示我们的程序(七个异常值)的优越性朝着古典文献数据(平均71和31个异常值)结合起来。

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