| Autor: |
Stephen J. Preece, Christopher J. Nester, Bjoern Braunstein, Angela Höhne, Jonathan D Chapman, Gert-Peter Brüggermann |
| Jazyk: |
angličtina |
| Předmět: |
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| Zdroj: |
Journal of Foot and Ankle Research |
| ISSN: |
1757-1146 |
| DOI: |
10.1186/1757-1146-7-s1-a65 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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