Smart Health Monitoring Bodyarea Network Using Raspberry Pi

Author:

Mohil Varmaa K,Prendra K,Ranjith K V,Robinsingh T,Nandalal V,Sathish Kumar N

Abstract

Abstract In today’s world more death occurs due to not immediate treatment for bed ridden patients. It also requires more man power. This document presents the model, installation and looks of a hardware and software platform for health monitoring system for patients. The main purpose of this system is to set up a system that can watch over bedridden patient’s health. This project depends on both hardware and software. It is developed using sp02, temperature, heartbeat connected to a raspberry pi micro controller, which get the sensor values and process it in machine learning process to produce a dosage prediction. It also intimates the doctor by triggering an automatic email. In addition, one can know the patients records and prediction of dosage from anywhere using the mobile application linked with it.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference8 articles.

1. Smart Mirror using Raspberry Pi;International Journal of Recent Trends in Engineering and Research,2018

2. Harnessing the power of Internet of Things based connectivity to improve healthcare;Zeadally,2019

3. IOT BASED PATIENT HEALTH MONITORING SYSTEM;International Journal of Advance Engineering and Research Development,2017

4. An Intelligent-Based Wavelet Classifier for Accurate Prediction of Breast Cancer;Haldorai

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