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A conceptual model of Digital Twin for potential applications in healthcare

A conceptual model of Digital Twin for potential applications in healthcare

Tran, T. Anh, Nguyen, V. Duc, Le, Than, Nguyen, Ho Quang, Le, Chi Hieu ORCID: 0000-0002-5168-2297, Zlatov, Nikolay, Hristov, Georgi, Zahariev, Plamen and Solanki, Vijender Kumar (2023) A conceptual model of Digital Twin for potential applications in healthcare. In: Intelligent Systems and Networks: Selected Articles from ICISN 2023, Vietnam. Lecture Notes in Networks and Systems (LNNS), 752 . Springer, Singapore, pp. 610-619. ISBN 978-9819947256; 978-9819947249; 978-9819947270 ISSN 2367-3370 (Print), 2367-3389 (Online) (doi:https://doi.org/10.1007/978-981-99-4725-6_72)

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Abstract

Digital Twin (DT) is one of the important enabling technologies for Smart Manufacturing and Industry 4.0, with a huge potential for many impactful applications in healthcare and industries. This paper presents a conceptual model of a DT system, with a proof-of-concept (POC) prototype of a robot for demonstrations and further investigations of DT applications in telehealth and in-home healthcare. The successfully developed POC prototype were tested to evaluate time delay, and possible errors when operating and controlling the virtual and physical models of a robot. The proposed conceptual model of a DT system can be used for demonstrations about DT, with further developments for potential applications in healthcare and industries, especially when it is integrated with emerging technologies such as artificial intelligence, machine learning, big data analytics, smart sensors, augmented reality and virtual reality.

Item Type: Conference Proceedings
Title of Proceedings: Intelligent Systems and Networks: Selected Articles from ICISN 2023, Vietnam
Uncontrolled Keywords: Digital Twin; industry 4.0; human-robot interaction; ROS; unity
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENG)
Related URLs:
Last Modified: 22 Aug 2023 11:55
URI: http://gala.gre.ac.uk/id/eprint/43747

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