A hierarchical, scalable architecture for a real-time monitoring system for an electrocardiography, using context-aware computing.
作者： Ahmad Malekian Borujeni , Mahmood Fathy , Nasser Mozayani
DOI: 10.1016/J.JBI.2019.103251
关键词: Scalability 、 Vital signs 、 Computer security 、 Computer science 、 Wireless sensor network 、 Health care 、 Edge computing 、 Cloudlet 、 Latency (engineering) 、 Fault tolerance
摘要: Abstract Heart failure is one of the most common cause death in world. The real-time health monitoring system with advent Internet things has attracted growing attention care industry, which can help reducing rate heart failure. Despite recent success these efforts, there have been some limitations, such as response time, scalability, latency and fault tolerance. To address issues, this paper, we propose a hierarchical architecture four layers to develop systems. In proposed model, vital signs patient are measured by means body sensor network sent smart system. Each related certain level Therefore, simple low-risk be detected quickly before it reaches dangerous level. Empirical results confirm significant improvement terms time scalability comparison state art techniques.
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