Simple finite element models for use in the design of therapeutic footwear.
Simple finite element models for use in the design of therapeutic footwear.
复制标题
用于治疗鞋设计的简单有限元模型。
DOI：
10.1016/j.jbiomech.2014.07.020
复制
发表时间：
2014
影响因子：
2.4
通讯作者：
Cavanagh,PeterR
中科院分区：
文献类型：
--
作者：
Spirka,ThomasA;Erdemir,Ahmet;EwersSpaulding,Susan;Yamane,Ann;Telfer,Scott;Cavanagh,PeterR
在类风湿性关节炎和糖尿病的情况下，经常使用治疗鞋来缓解或重新分配跖骨头区域的高足底压力。关于如何设计这些干预措施以及这些干预措施对足底压力分布的实际影响，目前几乎没有指导方针。有限元分析有可能通过改进给定的干预措施或确定最佳干预措施来协助设计过程，而无需实际构建和测试每个条件。然而，事实证明，基于医学图像分割的完整而详细的足部模型构建起来非常耗时，而且解决起来计算成本高昂，阻碍了它们在实践中的实用性。因此，当前工作的目标是确定是否可以使用简化的患者特异性模型来辅助足部矫形器的设计，以降低跖骨头区域的足底压力。通过一个糖尿病患者第五跖骨头高压和疼痛的案例研究来说明该方法。简单的脚模型最初是通过调整跖骨上的各个负载来校准的，以将赤脚条件下测量的峰值足底压力分布近似到 3% 以内。该负载用于各种鞋子条件下，以确定有效的矫形器。跖骨垫的模型结果明显高于测量值，但均匀表面的预测通常在测量值的 16% 以内。该方法实现了矫形器的虚拟原型设计，确定了重新分配患者足底压力的最有利方法。
Therapeutic footwear is frequently prescribed in cases of rheumatoid arthritis and diabetes to relieve or redistribute high plantar pressures in the region of the metatarsal heads. Few guidelines exist as to how these interventions should be designed and what effect such interventions actually have on the plantar pressure distribution. Finite element analysis has the potential to assist in the design process by refining a given intervention or identifying an optimal intervention without having to actually build and test each condition. However, complete and detailed foot models based on medical image segmentation have proven time consuming to build and computationally expensive to solve, hindering their utility in practice. Therefore, the goal of the current work was to determine if a simplified patient-specific model could be used to assist in the design of foot orthoses to reduce the plantar pressure in the metatarsal head region. The approach is illustrated by a case study of a diabetic patient experiencing high pressures and pain over the fifth metatarsal head. The simple foot model was initially calibrated by adjusting the individual loads on the metatarsals to approximate measured peak plantar pressure distributions in the barefoot condition to within 3%. This loading was used in various shod conditions to identify an effective orthosis. Model results for metatarsal pads were considerably higher than measured values but predictions for uniform surfaces were generally within 16% of measured values. The approach enabled virtual prototyping of the orthoses, identifying the most favorable approach to redistribute the patient’s plantar pressures.