5GSS: a framework for 5G-secure-smart healthcare monitoring. Issue 1 (31st December 2022)

• Record Type: Journal Article
• Authors: Hu, Jianqiang; Liang, Wei; Hosam, Osama; Hsieh, Meng-Yen; Su, Xin
• Is Part Of: Connection science. Volume 34:Issue 1(2022)
• Page Start: 139
• Page End: 161
• Publication Date: 2022-12-31
• Subjects: Context-aware health situation identification -- edge cloud -- 5G -- healthcare monitoring; Neural computers -- Periodicals; Artificial intelligence -- Periodicals; Cognitive science -- Periodicals; Connectionism -- Periodicals; 006.3
• DOI: 10.1080/09540091.2021.1977243
• Languages: English
• ISSNs: 0954-0091

Abstract

Abstract : Currently, the main challenges of the frameworks for healthcare monitoring are as follows: minimising latency, especially for delay-sensitive diseases such as sudden heart disease; identifying health situation in a timely and accurate manner when correlating physiological indicators and context information; reducing the risk of exposure because health data are highly private. In response to the above, this paper proposes a framework for 5G-secure-smart healthcare monitoring (5GSS) to achieve the following goals: fast and accurate identification of context-aware health situation, blockchain-based secure data sharing, and low-latency services for emergent patients. The framework consists of a data acquisition layer, a diagnosis and security layer (edge cloud), and a health service layer. The proposed framework adopts the following key technologies: a 5G-IPv6 communication network, context-aware health situation identification-based similarity measure, and blockchain-based secure data sharing mechanism. Finally, a prototype system has been implemented to monitor hypertensive heart disease, confirming its effectiveness with respect to a real scenario. Combined with the data of 45 patients, the prototype system can identify health situations with an accuracy of 96.34% at a sensitivity of 92.46% and a specificity of 93.62%, while significantly reducing the latency and improving the data sharing security.