A framework for Fog-assisted healthcare monitoring | Zendy

Jianqiang Hu | Zendy; Wei Liang | Zendy; Zhiyong Zeng | Zendy; Yong Xie | Zendy; Jianxun Yang | Zendy

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A framework for Fog-assisted healthcare monitoring

Author(s) -

Jianqiang Hu,

Wei Liang,

Zhiyong Zeng,

Yong Xie,

Jianxun Yang

Publication year - 2019

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis180930025h

Subject(s) - computer science , cloud computing , scalability , application layer , key (lock) , health care , layer (electronics) , architecture , computer network , real time computing , computer security , database , operating system , economics , art , chemistry , organic chemistry , software deployment , visual arts , economic growth

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.

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