Wireless Body Sensor Networks for Patient Health Monitoring

Author:

Chander Bhanu1ORCID

Affiliation:

1. Pondicherry University, India

Abstract

Remote medical health management is the most attractive research field in the domain of WSN. Wireless body area network (WBAN) produces constant, unbroken observation of the patient. Basically, WBAN acts as the appliance of internet of things (IoT) which offers an opportunity to a medical examiner to supervise chronic disease. Dissimilar protocols, guidelines, policies have been developed and developing in the last decade. In WBAN, minute power sensor nodes deployed toward capturing unusual essential signs of patients at home, hospitals in support of analysis purpose and furthermore advise suitable procedures. The main goal of this chapter is to introduce a complete and advanced understanding of WBANs, energy savings methods, human activity monitoring procedures, challenges and research issues, applications, and a comprehensive literature survey.

Publisher

IGI Global

Reference60 articles.

1. Energy-Efficient Remote Healthcare Monitoring Using IoT

2. Medical Information Processing Using Smartphone Under IoT Framework. Springer: Energy Conservation for IoT Devices, Studies in Systems;G.Akash,;Decision and Control,2019

3. Amin, N. U., & Asad, M. C. (2013). An authenticated key management with rekeying for secured body sensor networks based on Hybrid cryptography. ICNC, 9th IEEE international conference.

4. Tattoo-Based Noninvasive Glucose Monitoring: A Proof-of-Concept Study

5. Bluetooth. (2017). Bluetooth technology. Retrieved from https://www.bluetooth.com/

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Patient Care and Monitoring Through AI and IoT in Healthcare;2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI);2023-12-10

2. An Efficient Cluster Based Energy Routing Protocol (E-CBERP) for Wireless Body Area Networks Using Soft Computing Technique;Communications in Computer and Information Science;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3