Cloud-Based Wireless Body Area Networks

被引：16

作者：

Abiodun, Akande Sheriff ^{[1
]}

Anisi, Mohammad Hossein ^{[2
]}

Khan, Muhammad Khurram ^{[3
]}

机构：

[1] Univ Malaya, Fac Comp Sci & Informat Technol, Kuala Lumpur, Malaysia

[2] Univ Essex, Sch Comp Sci & Elect Engn, Colchester, Essex, England

[3] King Saud Univ, Ctr Excellence Informat Assurance, Riyadh, Saudi Arabia

来源：

IEEE CONSUMER ELECTRONICS MAGAZINE | 2019年 / 8卷 / 03期

关键词：

461.7 Health Care;

D O I：

10.1109/MCE.2019.2892244

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Patients with chronic diseases and the elderly will benefit greatly from a close-monitoring healthcare system. A wireless body area network (WBAN) has been widely deployed for this purpose. WBAN sensors collect vast amounts of biosignal data from a patient for long periods of time. These biosignal data need to be efficiently managed and stored for further processing and future reference. This article reviews and compares the frameworks and also evaluates the various methods used to manage WBAN data. We aim to identify the best method of managing WBAN data and present an enhanced architectural platform. It is intended to help researchers and practitioners to further study, modify, and develop quality-of-service (QoS)-based WBAN health-care systems. © 2012 IEEE.

引用

页码：55 / 59

页数：5

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