Developing an Architecture for IoT Interoperability in Healthcare: A Case Study of Real-time SpO2 Signal Monitoring and Analysis
Document Type
Conference Proceeding
Publication Date
12-10-2020
Abstract
The article presents a novel approach to address the interoperability issues in the Internet of Things (IoT) systems. Based on the IoT Reference Architecture, an IoT system architecture integrated with gateways and data converter solutions has been proposed to enhance the information exchange and data sharing across interconnected devices, networks and platforms.In addition, distributed open-source analytic platforms for real-time computational and streaming processing has been introduced to the proposed architecture. A case study of real-time oxygen saturation (SpO2) monitoring and analysis has been implemented to demonstrate the feasibility of the proposed architecture. The experimental results show the efficiency in terms of collecting and analyzing large volumes of data.
Identifier
85103816371 (Scopus)
ISBN
[9781728162515]
Publication Title
Proceedings 2020 IEEE International Conference on Big Data Big Data 2020
External Full Text Location
https://doi.org/10.1109/BigData50022.2020.9378200
First Page
3394
Last Page
3403
Grant
U54GM128729
Fund Ref
National Institutes of Health
Recommended Citation
Nguyen, Quoc H.; Dang, Quang; Pham, Chuan; Nguyen, Tien Dung; Nguyen, Hang; Setty, Arveity; and Le, Trung Quoc, "Developing an Architecture for IoT Interoperability in Healthcare: A Case Study of Real-time SpO2 Signal Monitoring and Analysis" (2020). Faculty Publications. 4748.
https://digitalcommons.njit.edu/fac_pubs/4748
