An Alternative Sensor Cloud Architecture for Vital Signs Monitoring

被引:0
|
作者
Ghanavati, Sara [1 ]
Abawajy, Jemal [1 ]
Izadi, Davood [1 ]
机构
[1] Deakin Univ, Parallel & Distributed Comp Lab, Sch Informat Technol, Geelong, Vic, Australia
关键词
Pervasive healthcare; Wireless Body Area Networks (WBANs); Cloud computing; EMG data analysis; NETWORKS; CLASSIFICATION; SCHEME;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Due to recent technological advancements in wireless communications and low-power sensor devices, wireless body area networks (WBANs) has become increasingly popular in pervasive healthcare monitoring. However, continuously collecting patients' physiological signs will result in large amounts of monitored data that require a scalable architecture for storage and analysis. This fact motivates the integration of WBANs with Cloud technology to manage and store humongous data effectively. In this paper, we propose a Cloud-based WBAN framework for real-time health monitoring of patients. The significance of the proposed framework is the use of mobile technology and Cloud computing to provide services for the ill and elderly people in their independent living. This paper describes the general design of the proposed approach as well as a case study and implementation setup for the real-time monitoring and analysis process of Electromyography (EMG) healthcare system.
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页码:2827 / 2833
页数:7
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