Toggle Main Menu Toggle Search

Open Access padlockePrints

3D-Printing and upper-limb prosthetic sockets: promises and pitfalls

Lookup NU author(s): Jenny Olsen, Professor Kianoush Nazarpour, Dr Matthew Dyson

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

CCBYModernising the way upper-limb prosthetic sockets are made has seen limited progress. The casting techniques that are employed in clinics today resemble those developed over 50 years ago and there is still a heavy reliance on manual labour. Modern manufacturing methods such as 3D scanning and printing are often presented as ready-to-use solutions for producing low-cost functional devices, with public perceptions being largely shaped by the superficial media representation and advertising. The promise is that modern socket manufacturing methods can improve patient satisfaction, decrease manufacturing times and reduce the workload in the clinic. However, the perception in the clinical community is that total conversion to digital methods in a clinical environment is not straightforward. Anecdotally, there is currently a disconnect between those developing technology to produce prosthetic devices and the actual needs of clinicians and people with limb difference. In this paper, we demonstrate strengths and drawbacks of a fully digitised, low-cost trans-radial diagnostic socket making process, informed by clinical principles. We present volunteer feedback on the digitally created sockets and provide expert commentary on the use of digital tools in upper-limb socket manufacturing. We show that it is possible to utilise 3D scanning and printing, but only if the process is informed by expert knowledge. We bring examples to demonstrate how and why the process may go wrong. Finally, we provide discussion on why progress in modernising the manufacturing of upper-limb sockets has been slow yet it is still too early to rule out digital methods.


Publication metadata

Author(s): Olsen J, Day S, Dupan S, Nazarpour K, Dyson M

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Neural Systems and Rehabilitation Engineering

Year: 2021

Volume: 29

Pages: 527-535

Online publication date: 15/02/2021

Acceptance date: 02/04/2016

Date deposited: 08/04/2021

ISSN (print): 1534-4320

ISSN (electronic): 1558-0210

Publisher: Institute of Electrical and Electronics Engineers Inc.

URL: https://doi.org/10.1109/TNSRE.2021.3057984

DOI: 10.1109/TNSRE.2021.3057984


Altmetrics

Altmetrics provided by Altmetric


Actions

Find at Newcastle University icon    Link to this publication


Share