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AuthorKhan, Sangeen
AuthorUllah, Sehat
AuthorKhan, Habib Ullah
AuthorRehman, Inam Ur
Available date2023-10-08T10:30:49Z
Publication Date2023-04-14
Publication NameIEEE Internet of Things Journal
Identifierhttp://dx.doi.org/10.1109/JIOT.2023.3267171
CitationKhan, S., Ullah, S., Khan, H. U., & Rehman, I. U. (2023). Digital Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients. IEEE Internet of Things Journal.
ISSN2327-4662
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85153376775&origin=inward
URIhttp://hdl.handle.net/10576/48326
AbstractThe deadly coronavirus disease (COVID-19) has highlighted the importance of remote health monitoring (RHM). The digital-twins (DTs) paradigm enables RHM by creating a virtual replica that receives data from the physical asset, representing its real-world behavior. However, DTs use passive Internet of Things (IoT) sensors, which limit their potential to a specific location or entity. This problem can be addressed by using the Internet of Robotic Things (IoRT), which combines robotics and IoT, allowing the robotic things (RTs) to navigate in a particular environment and connect to IoT devices in the vicinity. Implementing DTs in IoRT, creates a virtual replica [virtual twin (VT)] that receives real-time data from the physical RT [physical twin (PT)] to mirror its status. However, DTs require a user interface for real-time interaction and visualization. Virtual reality (VR) can be used as an interface due to its natural ability to visualize and interact with DTs. This research proposes a real-time system for RHM of COVID-19 patients using the DTs-based IoRT and VR-based user interface. It also presents and evaluates robot navigation performance, which is vital for remote monitoring. The VT operates the PT in the real environment (RE), which collects data from the patient-mounted sensors and transmits it to the control service to visualize in VR for medical examination. The system prevents direct interaction of medical staff with contaminated patients, protecting them from infection and stress. The experimental results verify the monitoring data quality (accuracy, completeness, and timeliness) and high accuracy of PT's navigation.
Sponsor- Qatar National Library - Qatar University Internal Grant
Languageen
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
SubjectCoronavirus disease (COVID-19)
digital twins (DTs)
Internet of Robotic Things (IoRT)
Internet of Things (IoT)
remote health monitoring (RHM)
robot navigation
virtual reality (VR)
TitleDigital-Twins-Based Internet of Robotic Things for Remote Health Monitoring of COVID-19 Patients
TypeArticle
Issue Number18
Volume Number10
dc.accessType Open Access


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