A Digital Twin Framework for Precision Neuromusculoskeletal Health Care: Extension Upon Industrial Standards

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Abstract

There is a powerful global trend toward deeper integration of digital twins into modern life driven by Industry 4.0 and 5.0. Defense, agriculture, engineering, manufacturing, and urban planning sectors have thoroughly incorporated digital twins to great benefit across their respective product lifecycles. Despite clear benefits, a digital twin framework for health and medical sectors is yet to emerge. This paper proposes a digital twin framework for precision neuromusculoskeletal health care. We build upon the International Standards Organization framework for digital twins for manufacturing by presenting best available computational models within a digital twin framework for clinical application. We map a use case for modeling Achilles tendon mechanobiology, highlighting how current modeling practices align with our proposed digital twin framework. Similarly, we map a use case for advanced neurorehabilitation technology, highlighting the role of a digital twin in control of systems where human and machine are interfaced. Future work must now focus on creating an informatic representation to govern how digital data are passed to, from, and within the digital twin, as well as specific standards to declare which measurement systems and modeling methods are acceptable to move toward widespread use of the digital twin framework for precision neuromusculoskeletal health care.

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APA

Saxby, D. J., Pizzolato, C., & Diamond, L. E. (2023). A Digital Twin Framework for Precision Neuromusculoskeletal Health Care: Extension Upon Industrial Standards. Journal of Applied Biomechanics, 39(5), 347–354. https://doi.org/10.1123/jab.2023-0114

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