Industry 5.0 in Healthcare: An Integrated Framework for Human-Centered Prosthetics Design and Manufacturing
Индустрия 5.0 в здравоохранении: интегрированная рамочная модель для человекоцентричного проектирования и производства протезов
2025-01-01
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House of QualityIndustry 5.0additive manufacturingdigital twinhuman-centered prosthetics
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Abstract (AI)
Industry 5.0 emphasizes human-centric approaches in technological advancement, particularly crucial in healthcare applications such as prosthetics development. While individual technologies like additive manufacturing, machine learning, digital twins, and tissue engineering have shown promise in prosthetics innovation, their integration remains a significant challenge. This paper presents a novel multidisciplinary framework developed through the National Centre for High-Performance Computing (CN-HPC) project, which addresses the gap between individual technological capabilities and their coordinated application in personalized prosthetics development. The framework, implemented through collaboration between six research groups from two universities, employs the House of Quality methodology to align technological integration with patient needs. Our approach encompasses a comprehensive seven-step process, from initial patient requirements definition through virtual modeling, production process optimization, virtual sensing, machine learning enhancement, digital twin simulation, to advanced tissue engineering. A data model facilitates seamless information exchange between different technological domains and research groups. This research contributes to the field by providing a scalable, human-centered framework for technology integration in medical device development, potentially extending beyond prosthetics to other healthcare applications. The proposed framework represents a significant step toward realizing the full potential of Industry 5.0 in healthcare manufacturing through the systematic integration of advanced technologies for delivering personalized prosthetic solutions.
Key Findings
1
Defines a seven-step process spanning requirement definition, virtual modeling, production optimization, virtual sensing, ML enhancement, digital twin simulation, and advanced tissue engineering.
2
Framework was developed via a CN-HPC project involving six research groups from two universities, demonstrating collaborative implementation.
3
Introduces a data model that enables seamless information exchange across technological domains, supporting scalability and extension to other healthcare applications.
4
Proposes a novel multidisciplinary framework integrating additive manufacturing, machine learning, digital twins, and tissue engineering for personalized prosthetics.
5
Uses House of Quality methodology to align technological integration with patient needs in a human-centered design process.
Research Object
Personalized prosthetic design and manufacturing system integrating additive manufacturing, machine learning, digital twins, virtual sensing, and tissue engineering
Research Subject
Framework for human-centered integration and coordination of advanced technologies to deliver personalized prosthetic solutions, including the seven-step process, data model for information exchange, and alignment with patient needs
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2025-01-01
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