Chapman, JD, Preece, SJ 
ORCID: https://orcid.org/0000-0002-2434-732X, Nester, CJ ORCID: https://orcid.org/0000-0003-1688-320X, 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 and Society > 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: | Publications Router |
| Date Deposited: | 09 Jun 2017 11:28 |
| Last Modified: | 24 Nov 2018 03:25 |
| URI: | http://usir.salford.ac.uk/id/eprint/32988 |
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