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An ISO/IEEE 11073 Standardized Digital Twin Framework for Health and Well-Being in Smart Cities

Authors :
Fedwa Laamarti
Hawazin Faiz Badawi
Yezhe Ding
Faisal Arafsha
Basim Hafidh
Abdulmotaleb El Saddik
Source :
IEEE Access, Vol 8, Pp 105950-105961 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

The use of the digital twin has been quickly adopted in industry in recent years and continues to gain momentum. The recent redefinition of the digital twin from the digital replica of a physical asset to the replica of a living or nonliving entity has increased its potential. The digital twin not only disrupts industrial processes, but also expands the domain of health and well-being towards fostering smart healthcare services in smart cities. In this paper, we propose an ISO/IEEE 11073 standardized digital twin framework architecture for health and well-being. This framework encompasses the process of data collection from personal health devices, the analysis of this data, and conveying the feedback to the user in a loop cycle. The framework proposes a solution to include not only X73 compliant devices, but also noncompliant health devices, by interfacing them with an X73 wrapper module as we explain in this paper. Besides, we propose a configurable X73 mobile application, designed to work with any X73 compliant device. We designed and implemented the proposed framework, and the X73 mobile app, and conducted an experiment as a proof of concept of the digital twin in the domain of health and well-being in smart cities. The experiment shows promising results and the potential of benefiting from the proposed framework, by gaining insights on the health and well-being of individuals, and providing feedback to the individual and caregiver.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.342faaf2681a412299f38c7cf4956f8e
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2020.2999871