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

被引:94
作者
Laamarti, Fedwa [1 ]
Badawi, Hawazin Faiz [1 ]
Ding, Yezhe [1 ]
Arafsha, Faisal [1 ]
Hafidh, Basim [1 ]
El Saddik, Abdulmotaleb [1 ]
机构
[1] Univ Ottawa, Sch Elect Engn & Comp Sci, Multimedia Commun Res Lab MCRLab, Ottawa, ON K1N 6N5, Canada
关键词
Digital twin; health; well-being; physical activity; standards; ISO; IEEE; 11073; X73; wearables; data collection; data analysis; artificial intelligence; user interaction; user feedback; SYSTEM;
D O I
10.1109/ACCESS.2020.2999871
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:105950 / 105961
页数:12
相关论文
共 43 条
[1]   Evidence of self-report bias in assessing adherence to guidelines [J].
Adams, AS ;
Soumerai, SB ;
Lomas, J ;
Ross-Degnan, D .
INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, 1999, 11 (03) :187-192
[2]   C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems [J].
Alam, Kazi Masudul ;
El Saddik, Abdulmotaleb .
IEEE ACCESS, 2017, 5 :2050-2062
[3]   Instrumented Wireless SmartInsole System for Mobile Gait Analysis: A Validation Pilot Study with Tekscan Strideway [J].
Arafsha, Faisal ;
Hanna, Christina ;
Aboualmagd, Ahmed ;
Fraser, Sarah ;
El Saddik, Abdulmotaleb .
JOURNAL OF SENSOR AND ACTUATOR NETWORKS, 2018, 7 (03)
[4]  
Augusto V, 2018, WINT SIMUL C PROC, P2495, DOI 10.1109/WSC.2018.8632438
[5]  
Badawi Hawazin, 2019, Information Technology and Systems. Proceedings of ICITS 2019. Advances in Intelligent Systems and Computing (AISC 918), P764, DOI 10.1007/978-3-030-11890-7_72
[6]  
Badawi H. F., 2020, Connected Health in Smart Cities, P113
[7]   ISO/IEEE 11073 Personal Health Device (X73-PHD) Standards Compliant Systems: A Systematic Literature Review [J].
Badawi, Hawazin Faiz ;
Laamarti, Fedwa ;
El Saddik, Abdulmotaleb .
IEEE ACCESS, 2019, 7 :3062-3073
[8]   Digital Twins in Health Care: Ethical Implications of an Emerging Engineering Paradigm [J].
Bruynseels, Koen ;
de Sio, Filippo Santoni ;
van den Hoven, Jeroen .
FRONTIERS IN GENETICS, 2018, 9
[9]  
Carot-Nemesio S, 2010, HEALTHINF 2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON HEALTH INFORMATICS, P505
[10]   A semi-active human digital twin model for detecting severity of carotid stenoses from head vibrationA coupled computational mechanics and computer vision method [J].
Chakshu, Neeraj Kavan ;
Carson, Jason ;
Sazonov, Igor ;
Nithiarasu, Perumal .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, 2019, 35 (05)