{"title":"IOT Based Real Time Health Monitoring System","authors":"Khan Abdul Moid, P. Otero","doi":"10.1109/GCWOT49901.2020.9391589","DOIUrl":null,"url":null,"abstract":"Our daily life is tough and full of problems, one of the most difficult task for this generation is to stay healthy. This can be achieved by inducting state of the art health monitoring system. Our aim is to provide affordable and effective solution of monitoring patient's health from anywhere in the world. In this paper, Raspberry Pi and Internet of Things (IoT) are used. Raspberry Pi is interfaced with multiple sensory sources that provide continuous data and limits the human error. The acquired data is transmitted and acquired by the data center, where it can be stored for later use and updates regularly. It also alerts the concerned physician or doctor for any kind of abnormality if it occurs. The aim of the proposed system is to monitor all patients located anywhere on the globe, which can easily be achieved by making the data available on a website. The propose system is inexpensive and provide an effective solution for the health monitoring tasks, it also reduces the communication gap between the doctor and the patient","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCWOT49901.2020.9391589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Our daily life is tough and full of problems, one of the most difficult task for this generation is to stay healthy. This can be achieved by inducting state of the art health monitoring system. Our aim is to provide affordable and effective solution of monitoring patient's health from anywhere in the world. In this paper, Raspberry Pi and Internet of Things (IoT) are used. Raspberry Pi is interfaced with multiple sensory sources that provide continuous data and limits the human error. The acquired data is transmitted and acquired by the data center, where it can be stored for later use and updates regularly. It also alerts the concerned physician or doctor for any kind of abnormality if it occurs. The aim of the proposed system is to monitor all patients located anywhere on the globe, which can easily be achieved by making the data available on a website. The propose system is inexpensive and provide an effective solution for the health monitoring tasks, it also reduces the communication gap between the doctor and the patient