Aerts W, Scarton A, De Groote F, Guiotto A, Sawacha Z, Cobelli C, Vander Sloten J, Jonkers I
a Department of Mechanical Engineering, Biomechanics Section , KU Leuven , Leuven , Belgium .
b Department of Information Engineering , University of Padova , Padova , Italy .
Comput Methods Biomech Biomed Engin. 2017 Oct;20(13):1442-1452. doi: 10.1080/10255842.2017.1372428. Epub 2017 Sep 12.
Plantar pressure simulation driven by integrated 3D motion capture data, using both a finite element and a discrete element model, is compared for ten healthy and ten diabetic neuropathic subjects. The simulated peak pressure deviated on average between 16.7 and 34.2% from the measured peak pressure. The error in the position of the peak pressure was on average smaller than 4.2 cm. No method was more accurate than the other although statistical differences were found between them. Both techniques are thus complementary and useful tools to better understand the alteration of diabetic foot biomechanics during gait.
利用有限元模型和离散元模型，基于集成3D运动捕捉数据驱动对10名健康受试者和10名糖尿病神经病变受试者的足底压力进行模拟，并对二者进行比较。模拟的峰值压力与测量的峰值压力平均偏差在16.7%至34.2%之间。峰值压力位置的误差平均小于4.2厘米。尽管两种方法之间存在统计学差异，但没有一种方法比另一种更准确。因此，这两种技术是互补的，是有助于更好理解糖尿病足在步态期间生物力学改变的有用工具。
