Fong 2012 IJABS(9)97.pdf (1.15 MB)
0/0

The use of model matching video analysis and computational simulation to study the ankle sprain injury mechanism

Download (1.15 MB)
journal contribution
posted on 12.05.2016 by Daniel Fong, Feng Wei
Lateral ankle sprains continue to be the most common injury sustained by athletes and create an annual healthcare burden of over $4 billion in the U.S. alone. Foot inversion is suspected in these cases, but the mechanism of injury remains unclear. While kinematics and kinetics data are crucial in understanding the injury mechanisms, ligament behaviour measures - such as ligament strains - are viewed as the potential causal factors of ankle sprains. This review article demonstrates a novel methodology that integrates model matching video analyses with computational simulations in order to investigate injury-producing events for a better understanding of such injury mechanisms. In particular, ankle joint kinematics from actual injury incidents were deduced by model matching video analyses and then input into a generic computational model based on rigid bone surfaces and deformable ligaments of the ankle so as to investigate the ligament strains that accompany these sprain injuries. These techniques may have the potential for guiding ankle sprain prevention strategies and targeted rehabilitation therapies.

Funding

The authors thank Dr. Roger Haut for his financial support of the modelling.

History

School

  • Sport, Exercise and Health Sciences

Published in

International Journal of Advanced Robotic Systems

Volume

9

Citation

FONG, D. and WEI, F., 2012. The use of model matching video analysis and computational simulation to study the ankle sprain injury mechanism. International Journal of Advanced Robotic Systems, DOI: 10.5772/51037.

Publisher

InTech (© the authors)

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Publication date

2012

ISSN

1729-8806

eISSN

1729-8814

Language

en

Licence

Exports

Logo branding

Licence

Exports