Is it possible to predict optimal rocker shoe design using barefoot gait parameters?

Chapman, JD; Preece, SJ; Nester, CJ; Braunstein, B; Höhne, A; Brüggermann, G-P

Abstract

Curved rocker shoes are routinely prescribed for people with diabetes in order reduce in-shoe plantar pressures. However, previous research has shown that different individuals may require different rocker outsole geometries in order to optimise pressure reduction [1, 2]. This has led some researchers to suggest that every individual should try a range of possible outsole designs to identify the design which maximises pressure reduction [1]. However, this process may not be feasible in a clinical setting. Given that plantar pressure has been shown to depend on specific gait variables [3], it may be possible to develop an algorithm which could predict an individual’s pressure response to a specific rocker outsole design using an input of gait data. Such an algorithm would remove the need to try on a large number of pairs of rocker shoes.

Citation

Chapman, J., Preece, S., Nester, C., Braunstein, B., Höhne, A., & Brüggermann, G. (2014). Is it possible to predict optimal rocker shoe design using barefoot gait parameters?. Journal of Foot and Ankle Research, 7, A65-A65. https://doi.org/10.1186/1757-1146-7-S1-A65

• Journal Article Type: Article
• Publication Date: Apr 8, 2014
• Deposit Date: Jun 9, 2017
• Publicly Available Date: Jun 9, 2017
• Journal: Journal of Foot and Ankle Research
• Publisher: Springer Verlag
• Volume: 7
• Pages: A65-A65
• DOI: https://doi.org/10.1186/1757-1146-7-S1-A65
• Publisher URL: http://dx.doi.org/10.1186/1757-1146-7-S1-A65
• Related Public URLs: https://jfootankleres.biomedcentral.com/
• Additional Information: Funders : European Commission; Projects : EU framework 7 programme; Grant Number: NMP2-SE-2009-229261