Foot modeling and smart plantar pressure reconstruction from three sensors.

Q3 Medicine
Open Biomedical Engineering Journal Pub Date : 2014-10-30 eCollection Date: 2014-01-01 DOI:10.2174/1874120701408010084
Hussein Abou Ghaida, Serge Mottet, Jean-Marc Goujon
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引用次数: 6

Abstract

In order to monitor pressure under feet, this study presents a biomechanical model of the human foot. The main elements of the foot that induce the plantar pressure distribution are described. Then the link between the forces applied at the ankle and the distribution of the plantar pressure is established. Assumptions are made by defining the concepts of a 3D internal foot shape, which can be extracted from the plantar pressure measurements, and a uniform elastic medium, which describes the soft tissues behaviour. In a second part, we show that just 3 discrete pressure sensors per foot are enough to generate real time plantar pressure cartographies in the standing position or during walking. Finally, the generated cartographies are compared with pressure cartographies issued from the F-SCAN system. The results show 0.01 daN (2% of full scale) average error, in the standing position.

足部建模和智能足底压力重建从三个传感器。
为了监测脚底压力,本研究提出了人类足部的生物力学模型。描述了引起足底压力分布的足部主要因素。然后踝关节受力和足底压力分布之间的联系就建立起来了。假设是通过定义3D内足形状的概念来做出的,这可以从足底压力测量中提取,以及描述软组织行为的均匀弹性介质。在第二部分中,我们展示了每脚仅3个离散压力传感器就足以在站立或行走时生成实时足底压力地图。最后,将生成的地图图与F-SCAN系统生成的压力地图图进行比较。结果表明,在站立位置,平均误差为0.01 daN(满量程的2%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Open Biomedical Engineering Journal
Open Biomedical Engineering Journal Medicine-Medicine (miscellaneous)
CiteScore
1.60
自引率
0.00%
发文量
4
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