Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-12T21:38:57.169Z Has data issue: false hasContentIssue false
  • English
  • Français

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
*
[email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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
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.

References

Andreasen, M. and Hein, L. (2000) ‘Integrated Product Development’, IPU, Lundtofte [Preprint].Google Scholar
Aranda-Muñoz, et al. . (2022) ‘Co-Designing with AI in Sight’, in Proceedings of the Design Society. Cambridge University Press, pp. 101–110. Available at: https://doi.org/10.1017/pds.2022.11.Google Scholar
Baines, T.S. et al. (2007) ‘State-of-the-art in product-service systems’, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221(10), pp. 1543–1552. Available at: https://doi.org/10.1243/09544054JEM858.CrossRefGoogle Scholar
Borg, J.C., Yan, X.T. and Juster, N.P. (2000) ‘Exploring decisions’ influence on life-cycle performance to aid “design for Multi-X”’, AI EDAM, 14(2), pp. 91–113. Available at: https://doi.org/10.1017/S0890060400142015.Google Scholar
Casciato, D.J. et al. (2023) ‘Diabetes-Related Major and Minor Amputation Risk Increased During the COVID-19 Pandemic’, Journal of the American Podiatric Medical Association, 113(2). Available at: https://doi.org/10.7547/20-224.CrossRefGoogle ScholarPubMed
Ceschin, F. (2014) ‘Product-service system innovation: A promising approach to sustainability’, SpringerBriefs in Applied Sciences and Technology, 17, pp. 17–40. Available at: https://doi.org/10.1007/978-3-319-03795-0_2/COVER.CrossRefGoogle Scholar
Ceschin, F. et al. (2014) Visualising product-service system business models. Available at: https://www.researchgate.net/publication/279930520_Visualising_product-service_system_business_models (Accessed: 10 July 2023).Google Scholar
Colombo, G. et al. (2010) ‘A new design paradigm for the development of custom-fit soft sockets for lower limb prostheses’, Computers in Industry, 61(6), pp. 513–523. Available at: https://doi.org/10.1016/J.COMPIND.2010.03.008.CrossRefGoogle Scholar
Davenport, T. and Kalakota, R. (2019) DIGITAL TECHNOLOGY The potential for artificial intelligence in healthcare, Future Healthcare Journal.CrossRefGoogle Scholar
Eidmann, A. et al. (2023) ‘Demographics and Etiology for Lower Extremity Amputations—Experiences of an University Orthopaedic Center in Germany’, Medicina (Lithuania), 59(2). Available at: https://doi.org/10.3390/medicina59020200.Google ScholarPubMed
Fan, J., Han, F. and Liu, H. (2014) ‘Challenges of Big Data analysis’, National Science Review. Oxford University Press, pp. 293–314. Available at: https://doi.org/10.1093/nsr/nwt032.Google Scholar
Gaiardelli, P. et al. (2021) ‘Product-service systems evolution in the era of Industry 4.0’, Service Business, 15(1), pp. 177–207. Available at: https://doi.org/10.1007/s11628-021-00438-9.CrossRefGoogle Scholar
Grimm, S. (2010) ‘Knowledge Representation and Ontologies’, Scientific Data Mining and Knowledge Discovery: Principles and Foundations, pp. 1–400. Available at: https://doi.org/10.1007/978-3-642-02788-8.CrossRefGoogle Scholar
Hein, A.M. et al. (2018) ‘Product service system design in a system of systems context: A literature survey’, in Proceedings of International Design Conference, DESIGN. Faculty of Mechanical Engineering and Naval Architecture, pp. 2891–2902. Available at: https://doi.org/10.21278/idc.2018.0358.CrossRefGoogle Scholar
Spector, Jennifer, and Editor, B., A. (2020) ‘Studies Note Increase In Amputations After Arrival Of COVID-19 Pandemic’, Annals of Vascular Surgery, October. Available at: https://www.hmpgloballearningnetwork.com/site/podiatry/studies-note-increase-amputations-after-arrival-covid-19-pandemic.Google Scholar
Kidziński, Ł. et al. (2019) ‘Artificial Intelligence for Prosthetics - challenge solutions’. Available at: http://arxiv.org/abs/1902.02441.Google Scholar
Li, H., Yu, L. and He, W. (2019) ‘The Impact of GDPR on Global Technology Development’, Journal of Global Information Technology Management. Taylor and Francis Inc., pp. 1–6. Available at: https://doi.org/10.1080/1097198X.2019.1569186.Google Scholar
Mai, A. and Commuri, S. (2013) ‘Intelligent control of a prosthetic ankle joint’, in ICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics, pp. 17–25. Available at: https://doi.org/10.5220/0004485600170025.CrossRefGoogle Scholar
Mennella, C. et al. (2023) ‘The Role of Artificial Intelligence in Future Rehabilitation Services: A Systematic Literature Review’, IEEE Access. Institute of Electrical and Electronics Engineers Inc., pp. 11024–11043. Available at: https://doi.org/10.1109/ACCESS.2023.3236084.Google Scholar
Mittermeyer, S.A., Njuguna, J.A. and Alcock, J.R. (2011) ‘Product-service systems in health care: Case study of a drug-device combination’, International Journal of Advanced Manufacturing Technology, 52(9–12), pp. 1209–1221. Available at: https://doi.org/10.1007/s00170-010-2766-4.CrossRefGoogle Scholar
Nasteski, V. (2017) ‘An overview of the supervised machine learning methods’, HORIZONS.B, 4, pp. 51–62. Available at: https://doi.org/10.20544/horizons.b.04.1.17.p05.CrossRefGoogle Scholar
Nayak, S. and Kumar Das, R. (2020) ‘Application of Artificial Intelligence (AI) in Prosthetic and Orthotic Rehabilitation’, in Service Robotics. IntechOpen. Available at: https://doi.org/10.5772/intechopen.93903.CrossRefGoogle Scholar
Nemoto, Y., Dhiman, H. and Röcker, C. (2021) ‘Design for continuous use of product-service systems: A conceptual framework’, in Proceedings of the Design Society. Cambridge University Press, pp. 983–992. Available at: https://doi.org/10.1017/pds.2021.98.Google Scholar
Neuhüttler, J. et al. (2020) ‘Perceived quality of artificial intelligence in smart service systems: A structured approach’, Communications in Computer and Information Science, 1266 CCIS, pp. 3–16. Available at: https://doi.org/10.1007/978-3-030-58793-2_1/TABLES/1.CrossRefGoogle Scholar
Oussous, A. et al. (2018) ‘Big Data technologies: A survey’, Journal of King Saud University - Computer and Information Sciences. King Saud bin Abdulaziz University, pp. 431–448. Available at: https://doi.org/10.1016/j.jksuci.2017.06.001.CrossRefGoogle Scholar
Patiniott, N., Borg, J.C., et al. (2023) ‘ELEMENTS OF A PRESCRIPTIVE AND ADAPTIVE PROSTHESIS DEVELOPMENT SERVICE FRAMEWORK’, Proceedings of the Design Society, 3, pp. 1605–1614. Available at: https://doi.org/10.1017/PDS.2023.161.CrossRefGoogle Scholar
Patiniott, N., Vella, P.C., et al. (2023) ‘Towards an Ontology For a Smart and Adaptive Prosthesis Service System Framework’.Google Scholar
Pourabdollahian, G. and Copani, G. (2015) ‘Development of a PSS-oriented business model for customized production in healthcare’, in Procedia CIRP. Elsevier B.V., pp. 492–497. Available at: https://doi.org/10.1016/j.procir.2015.02.158.CrossRefGoogle Scholar
Preidel, M. and Stark, R. (2021) ‘Semdaserv: A systematic approach for semantic data specification of ai-based smart service systems’, Applied Sciences (Switzerland), 11(11). Available at: https://doi.org/10.3390/app11115148.Google Scholar
Sansoni, S., Wodehouse, A. and Buis, A. (2015) A new design system of below-limb prostheses The role of a visual prosthetic designer. Available at: https://www.researchgate.net/publication/282576255_A_new_design_system_of_below-limb_prostheses_The_role_of_a_visual_prosthetic_designer (Accessed: 21 July 2023).Google Scholar
Sarker, I.H. (2022) ‘AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems’, SN Computer Science, 3(2). Available at: https://doi.org/10.1007/s42979-022-01043-x.CrossRefGoogle ScholarPubMed
Shokouhyar, S., Shokoohyar, S. and Safari, S. (2020) ‘Research on the influence of after-sales service quality factors on customer satisfaction’, Journal of Retailing and Consumer Services, 56. Available at: https://doi.org/10.1016/j.jretconser.2020.102139.CrossRefGoogle Scholar
Song, W. and Sakao, T. (2017) ‘A customization-oriented framework for design of sustainable product/service system’, Journal of Cleaner Production, 140, pp. 1672–1685. Available at: https://doi.org/10.1016/j.jclepro.2016.09.111.CrossRefGoogle Scholar
Stacey, P.K. and Tether, B. (2014) Designing Emotion--Centred Product Service Systems: the Case of a Cancer Care Facility, Working Paper series. Available at: http://www.lums.lancs.ac.uk/publications.CrossRefGoogle Scholar
Szwejczewski, M., Goffin, K. and Anagnostopoulos, Z. (2015) ‘Product service systems, after-sales service and new product development’, http://dx.doi.org/10.1080/00207543.2015.1033499, 53(17), pp. 5334–5353. Available at: https://doi.org/10.1080/00207543.2015.1033499.CrossRefGoogle Scholar
Tan, A.R. and McAloone, T.C. (2006) ‘CHARACTERISTICS OF STRATEGIES IN PRODUCT/SERVICE-SYSTEM DEVELOPMENT’, DS 36: Proceedings DESIGN 2006, the 9th International Design Conference, Dubrovnik, Croatia, pp. 1435–1442. Available at: https://www.designsociety.org/publication/19156/CHARACTERISTICS+OF+STRATEGIES+IN+PRODUCT%2FSERVICE-SYSTEM+DEVELOPMENT (Accessed: 22 July 2023).Google Scholar
Tukker, A. (2004) ‘Eight types of product-service system: Eight ways to sustainability? Experiences from suspronet’, Business Strategy and the Environment, 13(4), pp. 246–260. Available at: https://doi.org/10.1002/bse.414.CrossRefGoogle Scholar
Vélez-guerrero, M.A., Callejas-cuervo, M. and Mazzoleni, S. (2021) ‘Artificial intelligence-based wearable robotic exoskeletons for upper limb rehabilitation: A review’, Sensors. MDPI AG, pp. 1–30. Available at: https://doi.org/10.3390/s21062146.CrossRefGoogle Scholar
Vélez-Guerrero, M.A., Callejas-Cuervo, M. and Mazzoleni, S. (2021) ‘Design, development, and testing of an intelligent wearable robotic exoskeleton prototype for upper limb rehabilitation’, Sensors, 21(16). Available at: https://doi.org/10.3390/s21165411.Google ScholarPubMed
Xing, K., Rapaccini, M. and Visintin, F. (2017) ‘PSS in Healthcare: An Under-Explored Field’, in Procedia CIRP. Elsevier B.V., pp. 241–246. Available at: https://doi.org/10.1016/j.procir.2017.03.068.CrossRefGoogle Scholar
Yang, L. and Xing, K. (2014) ‘A concept innovation model for product service systems development and application’, pp. 1–6. Available at: https://doi.org/10.1109/ICSSSM.2014.6943401.CrossRefGoogle Scholar
Yang, L., Xing, K. and Lee, S.H. (2010) ‘A new conceptual life cycle model for Result-Oriented Product-Service System development’, in Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2010, pp. 23–28. Available at: https://doi.org/10.1109/SOLI.2010.5551621.CrossRefGoogle Scholar
Yang, Y., Zhuang, Y. and Pan, Y. (2021) ‘Multiple knowledge representation for big data artificial intelligence: framework, applications, and case studies’, Frontiers of Information Technology and Electronic Engineering, 22(12), pp. 1551–1558. Available at: https://doi.org/10.1631/FITEE.2100463.CrossRefGoogle Scholar
Yip, M.H., Phaal, R. and Probert, D.R. (2015) ‘Characterising product-service systems in the healthcare industry’, Technology in Society, 43, pp. 129–143. Available at: https://doi.org/10.1016/j.techsoc.2015.05.014.CrossRefGoogle Scholar
Young, M. et al. (2019) ‘Time-related changes in quality of life in persons with lower limb amputation or spinal cord injury: protocol for a systematic review’, Systematic reviews, 8(1). Available at: https://doi.org/10.1186/S13643-019-1108-3.CrossRefGoogle ScholarPubMed