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

Chapman, JD, Preece, SJ, Nester, CJ, Braunstein, B, Höhne, A and Brüggermann, G-P 2014, 'Is it possible to predict optimal rocker shoe design using barefoot gait parameters?' , Journal of Foot and Ankle Research, 7 , A65-A65.

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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.

Item Type: Article
Schools: Schools > School of Health Sciences > Centre for Health Sciences Research
Journal or Publication Title: Journal of Foot and Ankle Research
Publisher: BioMed Central
ISSN: 1757-1146
Related URLs:
Funders: European Commission
Depositing User: Unnamed user with email usir@salford.ac.uk
Date Deposited: 09 Jun 2017 11:28
Last Modified: 08 Aug 2017 19:11
URI: http://usir.salford.ac.uk/id/eprint/32988

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