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The biometric shoe: could 3D printed footwear and machine learning theoretically reduce complications from diabetes?

journal contribution
posted on 2019-08-14, 11:18 authored by P Jones, M Harrison, M Davies, K Khunti, M McCarthy, D Webb, R Berrington
Recent advances in technology have given us 3D printed footwear for marathon runners, along with insoles capable of measuring in-shoe temperature and pressure. Custom 3D printed biometric footwear for those with diabetes and neuropathy therefore seems a natural development but has yet to emerge. The authors discuss both the feasibility of developing a 3D printed shoe incorporating sensors to provide real-time microclimate data and some of the practical problems that remain, including a brief outline of recent advances in this field.

History

Citation

The Diabetic Foot Journal, 2019, 22(2), pp. 28-31. 4p.

Author affiliation

/Organisation/COLLEGE OF LIFE SCIENCES/School of Medicine/Diabetes Research Centre

Version

  • VoR (Version of Record)

Published in

The Diabetic Foot Journal

Publisher

Wounds Group, a division of Omnia-Med Ltd.

issn

1462-2041

Copyright date

2019

Notes

The file associated with this record is under a permanent embargo in accordance with the publisher's policy. The full text may be available through the publisher links provided above.

Language

en

Publisher version

https://www.diabetesonthenet.com/journals/issue/578/article-details/biometric-shoe-could-3d-printed-footwear-and-machine-learning-theoretically-reduce-complications-diabetes

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