Geodesic
A Framework for Fog-assisted Healthcare Monitoring
Computer Science and Information Systems, Tome 16 (2019) no. 3.

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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.
Keywords: Healthcare monitoring, Fog computing, IPv6, HL7 RIM, Health risk assessment 
@article{CSIS_2019_16_3_a4,
     author = {Jianqiang Hu and Wei Liang and Zhiyong Zeng and Yong Xie 1,2 and Jianxun Eileen Yang},
     title = {A {Framework} for {Fog-assisted} {Healthcare} {Monitoring}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {16},
     number = {3},
     year = {2019},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2019_16_3_a4/}
}
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Jianqiang Hu; Wei Liang; Zhiyong Zeng; Yong Xie 1,2; Jianxun Eileen Yang. A Framework for Fog-assisted Healthcare Monitoring. Computer Science and Information Systems, Tome 16 (2019) no. 3. http://geodesic.mathdoc.fr/item/CSIS_2019_16_3_a4/