Work

A framework for Fog-assisted healthcare monitoring

Year: 2019

Type: article

Abstract: In order to tackle some challenges in ubiquitous healthcare monitoring such as mobility, scalability, and network latency, a framework for Fog-assisted healthcare monitoring is proposed in this paper. This framework is composite of body-sensing layer, Fog layer (Fog-assisted gateway), Cloud layer (health Cloud). And then, this paper makes an intensive study in some key technologies of the proposed framework such as an IPv6-based network architecture, intelligent warning model based on subband energy feature, security framework of HL7 RIM-based data exchange, health risk assessment based on fusion of grey model and Markov model. Finally, results of experiment depict that the proposed intelligent warning model can make immediate distinction abnormal signals. Moreover, the proposed health assessment model confirms its effectiveness with respect to 245 patients in Xiamen District of Jimei.

Source: Computer Science and Information Systems

DOI: 10.2298/csis180930025h

Authors: Jianqiang Hu, Wei Liang, Zhiyong Zeng, Yong Xie, Jianxun Yang

Institutions: Xiamen University of Technology, Fujian Normal University, Sun Yat-sen University

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDGs: Good health and well-being, Industry, innovation and infrastructure

Open Access status: diamond

Funders: National Natural Science Foundation of China, Natural Science Foundation of Fujian Province