Smart Health Monitoring System With Iot

A. S. Prasad, M. Jayaram
{"title":"Smart Health Monitoring System With Iot","authors":"A. S. Prasad, M. Jayaram","doi":"10.1109/ICAITPR51569.2022.9844201","DOIUrl":null,"url":null,"abstract":"During a pandemic, healthcare automation ensures patient assistance and eliminates the need for a caretaker near the patient. As a result, a Raspberry Pi-based IoT smart system was built to meet the needs of the circumstance. This paper presents automation strategies for measuring data such as temperature, ECG, heartbeat, saline bottle level, and body fall in the healthcare setting. Instead of using an Ag/AgCl electrode, the ECG signal is acquired using a Graphene NanoRibbon (GNR) electrode. These automation gadgets use sensors and mobile communication devices to monitor patient health remotely. The suggested system employs a heart rate sensor that detects a person’s heart rate and sends the heart rate and R-R interval measurements via the Internet. The results can be recorded and shown on an LCD screen using a Raspberry Pi. The main aim of work is to provide an extensive research in capturing the sensor data, analyzing the data and providing a feedback to patients based on different health parameters. During an emergency, an alert message is delivered to the concerned person’s mobile phone and email address after collecting data from webpage. Data was sent via GSM module for visualization. Doctors can access patient records through a website.","PeriodicalId":262409,"journal":{"name":"2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)","volume":"19 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAITPR51569.2022.9844201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

During a pandemic, healthcare automation ensures patient assistance and eliminates the need for a caretaker near the patient. As a result, a Raspberry Pi-based IoT smart system was built to meet the needs of the circumstance. This paper presents automation strategies for measuring data such as temperature, ECG, heartbeat, saline bottle level, and body fall in the healthcare setting. Instead of using an Ag/AgCl electrode, the ECG signal is acquired using a Graphene NanoRibbon (GNR) electrode. These automation gadgets use sensors and mobile communication devices to monitor patient health remotely. The suggested system employs a heart rate sensor that detects a person’s heart rate and sends the heart rate and R-R interval measurements via the Internet. The results can be recorded and shown on an LCD screen using a Raspberry Pi. The main aim of work is to provide an extensive research in capturing the sensor data, analyzing the data and providing a feedback to patients based on different health parameters. During an emergency, an alert message is delivered to the concerned person’s mobile phone and email address after collecting data from webpage. Data was sent via GSM module for visualization. Doctors can access patient records through a website.
物联网智能健康监测系统
在大流行期间,医疗保健自动化可确保患者获得帮助,并消除了患者附近看护人员的需要。因此,基于树莓派的物联网智能系统应运而生。本文介绍了在医疗保健环境中测量温度、心电图、心跳、生理盐水瓶液位和身体下降等数据的自动化策略。使用石墨烯纳米带(GNR)电极获取ECG信号,而不是使用Ag/AgCl电极。这些自动化设备使用传感器和移动通信设备远程监测患者的健康状况。该系统采用了一个心率传感器,可以检测人的心率,并通过互联网发送心率和R-R间隔测量值。结果可以记录并显示在LCD屏幕上使用树莓派。工作的主要目的是在捕获传感器数据,分析数据并根据不同的健康参数向患者提供反馈方面提供广泛的研究。在紧急情况下,从网页收集数据后,向相关人员的手机和电子邮件地址发送警报信息。数据通过GSM模块发送,实现可视化。医生可以通过网站访问病人的记录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信