Fog Enabled Cloud Based Heart Rate Monitoring System

Author:

Arulmozhiselvan L 1,Uma E 1

Affiliation:

1. Department of Information Science and Technology, Anna University, chennai, India

Abstract

The world has seen a substantial growth in the number of senior citizens who often endure from heart disease in recent times and has seen a major spread of the viral disease (COVID-19) in recent months, resulting in thousands of deaths, particularly among the elderly and people suffering from heart disease. Among the most promising health care that seek to relieve the suffering of patients, particularly the elderly, by eliminating the trouble of going to hospital centers for treatment and enabling them to obtain medical attention in their homes. The IoT has been depended on and its use has seen broad adoption in health care, where it is commonly used remotely to track patient health. Fog computing expands the computational capabilities of the cloud to the edge devices of the IoT, enabling many smart devices in healthcare to provide services such as storing and retrieving information to their users. However in the traditional cloud-based system, there is a timing delay in providing a reliable and secure heart monitoring system. The main objective of this work is to develop a fog-enabled cloud-based (FECB) heart rate monitoring unit that allows better network use and energy consumption. In terms of performance metrics, such as latency and delay, the proposed system also outperforms the existing system.

Publisher

IOS Press

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. Fog based Healthcare Monitoring System in SDN-IoT Networks;2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE);2022-12-16

2. Hadoop and Spark based Rectilinear Range Query Analysis;2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE);2022-12-16

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