Volume 7 Supplement 1
A computational biomechanics study to investigate the effect of myoelectric stimulation on peroneal muscles in preventing inversion-type ankle ligamentous sprain injury
© Ha et al; licensee BioMed Central Ltd. 2014
Published: 8 April 2014
The aim of this study was to develop a three-dimensional (3D) computational model to justify the effect of myoelectric stimulation in preventing ankle inversion ligamentous sprain injury.
The subject who sustained a grade 1 anterior talofibular ligamentous sprain injury on his right ankle during our previous case report  was invited to participate in this project. There were three steps: 1) Computational model development: CT scan was performed from mid-femur to the foot segments. The CT images were separated and meshed as individual solid bodies in MIMICS. These individual bones were computationally separated and meshed in STL files. These files will be remeshed in MIMICS to smooth each bone in order to reduce the file size. The 3D computational lower limb model was then imported into SolidWorks for applying ligamentous restraints, prescribing force, motion constraints, prescribing muscle forces, and simulating the ankle dynamics. 2) Model validation: This model will be validated against two cadaveric studies. 3) Model simulation: A systematic series of simulations will be conducted to deliver the myoelectric stimulation when different ankle inversion velocity threshold is achieved, at different delay time, and at different stimulation.
The model is validated. Stimulation with a delay time of 25 milliseconds could successfully prevent the ankle inversion sprain when the lower threshold of 300 or 400 degrees per second was identified.
This study is indispensable and crucial for evaluating the actual effect of myoelectric stimulation on peroneal muscles in preventing ankle inversion sprain injury. Meanwhile, this study would also contribute to the research on the intelligent anti-sprain system, which in turn would boost sports participation with more effective protection for the general public.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.