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Research Article | Open Access

Finite Element Analysis of the Expression of Plantar Pressure Distribution in the Injury of the Lateral Ligament of the Ankle

Dian Wang1,2,3, Ping Cai1,2,3( )
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instrument, Shanghai 200240, China
Institute of Rehabilitation Engineering & Technology, Shanghai 200240, China
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Abstract

The program of treatment and rehabilitation of chronic ankle instability is different according to the impairment degree of lateral ligament of the ankle. The diagnosis methods of lateral ligament's injury are magnetic resonance imaging (MRI) and arthroscopy, which are either invasive or time-consuming. This study aims to analyze the mapping relation between lateral ligaments' injury and center of pressure (COP) position shift via finite element analysis in order to explore a method that can diagnose lateral ligaments' injury. Two typical finite element method (FEM) bone models of heel-strike and toes-off phase are built according to the gait metrics. The lateral ligament is simulated by adding the spring to the model in the anatomical position and the injury of lateral ligament is simulated by reducing the stiffness of the spring. The contact pressure between the foot and support plate and COP coordinates are analyzed. The displacement of anterolateral shift of COP coordinates is mapped to the injury degree of lateral ligament. This study provides feasibility to diagnose lateral ligament injury by plantar pressure distribution.

Keywords

Mechanical ankle instabilityLateral ligament injuryFinite element methodCenter of pressure

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Nano Biomedicine and Engineering
Volume 11 Issue 3,
September 2019
Pages 290-296
DOI: 10.5101/nbe.v11i3.p290-296
Cite this article:
Wang D, Cai P. Finite Element Analysis of the Expression of Plantar Pressure Distribution in the Injury of the Lateral Ligament of the Ankle. Nano Biomedicine and Engineering, 2019, 11(3): 290-296. https://doi.org/10.5101/nbe.v11i3.p290-296

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Received: 27 September 2018
Accepted: 06 September 2019
Published: 06 September 2019
© Dian Wang, Ping Cai.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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