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利用有限元模型预测眼球运动中的肌肉激活情况。

Prediction of muscle activation for an eye movement with finite element modeling.

机构信息

School of Mechanical Eng., Shiraz Univ., Shiraz, Fars, 71348-51154, Iran.

School of Mechanical Eng., Shiraz Univ., Shiraz, Fars, 71348-51154, Iran.

出版信息

Comput Biol Med. 2017 Oct 1;89:368-378. doi: 10.1016/j.compbiomed.2017.08.018. Epub 2017 Aug 24.

Abstract

In this paper, a 3D finite element (FE) modeling is employed in order to predict extraocular muscles' activation and investigate force coordination in various motions of the eye orbit. A continuum constitutive hyperelastic model is employed for material description in dynamic modeling of the extraocular muscles (EOMs). Two significant features of this model are accurate mass modeling with FE method and stimulating EOMs for motion through muscle activation parameter. In order to validate the eye model, a forward dynamics simulation of the eye motion is carried out by variation of the muscle activation. Furthermore, to realize muscle activation prediction in various eye motions, two different tracking-based inverse controllers are proposed. The performance of these two inverse controllers is investigated according to their resulted muscle force magnitude and muscle force coordination. The simulation results are compared with the available experimental data and the well-known existing neurological laws. The comparison authenticates both the validation and the prediction results.

摘要

本文采用三维有限元(FE)建模方法,预测眼球运动中眼外肌的激活情况,并研究各种运动中的力协调。连续体本构超弹性模型用于描述眼外肌(EOM)的动态建模中的材料特性。该模型的两个显著特点是采用 FE 方法进行精确的质量建模和通过肌肉激活参数刺激 EOM 运动。为了验证眼球模型,通过肌肉激活的变化进行眼球运动的正向动力学模拟。此外,为了在各种眼球运动中实现肌肉激活预测,提出了两种基于跟踪的逆控制器。根据肌肉力的大小和肌肉力的协调,研究了这两种逆控制器的性能。将模拟结果与现有实验数据和著名的神经学规律进行比较。比较结果证实了验证和预测结果的有效性。

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