ID:
publications-3751
Type:
article
Year:
2019
Authors:
Liu, Ying and Liu, Ying and Liu, Ying and Liu, Ying and Lin, Zhongxu and Zhang, Lin and Yang, Yuan and Yang, Yuan and Zhou, Longfei and Zhou, Longfei and Ren, Lei and Ren, Lei and Wang, Fei and Wang, Fei and Wang, Fei and Wang, Fei and Wang, Fei and Liu, Rong and Liu, Rong and Pang, Zhibo and Pang, Zhibo and Deen, M.J. and Deen, M. Jamal and Deen, M. Jamal and Deen, M. Jamal and Deen, M. Jamal
Title:
A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin
Venue/Journal:
IEEE Access
DOI:
10.1109/access.2019.2909828
Research type:
Water System:
Technical Focus:
Abstract:
With the development of technologies, such as big data, cloud computing, and the Internet of Things (IoT), digital twin is being applied in industry as a precision simulation technology from concept to practice. Further, simulation plays a very important role in the healthcare field, especially in research on medical pathway planning, medical resource allocation, medical activity prediction, etc. By combining digital twin and healthcare, there will be a new and efficient way to provide more accurate and fast services for elderly healthcare. However, how to achieve personal health management throughout the entire lifecycle of elderly patients, and how to converge the medical physical world and the virtual world to realize real smart healthcare, are still two key challenges in the era of precision medicine. In this paper, a framework of the cloud healthcare system is proposed based on digital twin healthcare (CloudDTH). This is a novel, generalized, and extensible framework in the cloud environment for monitoring, diagnosing and predicting aspects of the health of individuals using, for example, wearable medical devices, toward the goal of personal health management, especially for the elderly. CloudDTH aims to achieve interaction and convergence between medical physical and virtual spaces. Accordingly, a novel concept of digital twin healthcare (DTH) is proposed and discussed, and a DTH model is implemented. Next, a reference framework of CloudDTH based on DTH is constructed, and its key enabling technologies are explored. Finally, the feasibility of some application scenarios and a case study for real-time supervision are demonstrated.
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