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An AI-based prosthesis framework fostering an adaptive amputee healthcare service

Published online by Cambridge University Press:  16 May 2024

Nicholas Patiniott ,
Jonathan C. Borg ,
Emmanuel Francalanza ,
Joseph P. Zammit ,
Pierre Vella ,
Alfred Gatt  and
Kristin Paetzold Byhain
Nicholas Patiniott*
Affiliation:
University of Malta, Malta
Jonathan C. Borg
Affiliation:
University of Malta, Malta
Emmanuel Francalanza
Affiliation:
University of Malta, Malta
Joseph P. Zammit
Affiliation:
University of Malta, Malta
Pierre Vella
Affiliation:
University of Malta, Malta
Alfred Gatt
Affiliation:
University of Malta, Malta
Kristin Paetzold Byhain
Affiliation:
Technische Universität Dresden, Germany
*
nicholas.patiniott@um.edu.mt

Abstract

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Despite technological and medical advances, amputations continue to increase. Amputees face significant challenges when acquiring and using prosthetic devices, challenges which are made worse as their emotional needs, aspirations, mobility, prosthesis requirements and problems change over time. These challenges require custom solutions for each individual amputee, a fact that current amputee centered prosthesis services tend to ignore. The work reported in this paper contributes an AI based Prosthesis Development Service Framework to cater for the current and evolving needs of amputees.

Keywords

product-service systems (PSS)health serviceshealthcare designdigital twinSURAI for smart product service systems

Information

Type
Artificial Intelligence and Data-Driven Design
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 2187 - 2196
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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