Personal Health and Illness Management and the Future Vision of Biomedical Clothing Based on WSN

IF 0.5 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Ge Zhang, Zubin Ning
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引用次数: 0

Abstract

It is essential to have a fast, reliable, and energy-efficient connection between wireless sensor networks (WSNs). Control specifications, networking layers, media access control, and physical layers should be optimised or co-designed. Health insurance will become more expensive for individuals with lower incomes. There are privacy and cyber security issues, an increased risk of malpractice lawsuits, and more costs in terms of both time and money for doctors and patients. In this paper, personal health biomedical clothing based on wireless sensor networks (PH-BC-WSN) was used to enhance access to quality health care, boost food production through precision agriculture, and improve the quality of human resources. The internet of things enables the creation of healthcare and medical asset monitoring systems that are more efficient. There was extensive discussion of medical data eavesdropping, manipulation, fabrication of warnings, denial of services, position and tracker of users, physical interference with devices, and electromagnetic attacks.
基于WSN的个人健康和疾病管理及生物医学服装的未来展望
在无线传感器网络(wsn)之间建立快速、可靠和节能的连接至关重要。控制规范、网络层、媒体访问控制和物理层应进行优化或共同设计。对于收入较低的个人来说,医疗保险将变得更加昂贵。还有隐私和网络安全问题,医疗事故诉讼的风险增加,以及医生和患者在时间和金钱方面的更多成本。本文将基于无线传感器网络(PH-BC-WSN)的个人健康生物医学服装用于提高优质医疗保健的可及性,通过精准农业促进粮食生产,提高人力资源质量。物联网使创建更高效的医疗保健和医疗资产监控系统成为可能。会议广泛讨论了医疗数据窃听、操纵、捏造警告、拒绝服务、定位和跟踪用户、对设备的物理干扰以及电磁攻击等问题。
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来源期刊
International Journal of Data Warehousing and Mining
International Journal of Data Warehousing and Mining COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.40
自引率
0.00%
发文量
20
审稿时长
>12 weeks
期刊介绍: The International Journal of Data Warehousing and Mining (IJDWM) disseminates the latest international research findings in the areas of data management and analyzation. IJDWM provides a forum for state-of-the-art developments and research, as well as current innovative activities focusing on the integration between the fields of data warehousing and data mining. Emphasizing applicability to real world problems, this journal meets the needs of both academic researchers and practicing IT professionals.The journal is devoted to the publications of high quality papers on theoretical developments and practical applications in data warehousing and data mining. Original research papers, state-of-the-art reviews, and technical notes are invited for publications. The journal accepts paper submission of any work relevant to data warehousing and data mining. Special attention will be given to papers focusing on mining of data from data warehouses; integration of databases, data warehousing, and data mining; and holistic approaches to mining and archiving
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