{"title":"Three Tier Architecture for IoT Driven Health Monitoring System Using Raspberry Pi","authors":"Neel Kamal, P. Ghosal","doi":"10.1109/ISES.2018.00044","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks (WSNs) have witnessed advancement in medical services from real-time tracking and computer-assisted machine to alert response systems. Due to a tremendous shortage of trained manpower and a huge cost for setting up state-of-the-art facilities, it is often not possible to deliver proper health care services in the rural and remote areas. Lack of accurate and timely information further adds complexity and challenges to the problem. The proposed system uses a three-tier architecture that can be generally applied to WSN based healthcare systems. The proposed model monitors the patient body temperature, heartbeat, and body position movements constantly, and sends this information to site pages and crisis centres/services from the remote location. WSNs are composed of low power consuming sensors. Raspberry pi is a credit card sized board that uses 5V power supply. The proposed and implemented system prototype uses raspberry pi that is driven by Internet of Things (IoT) connected through different sensors DS18B20, ADXL345, ADC1015 and heartbeat sensor. The framework additionally gives crisis warning to a specialist and sends the information on a web server. The framework utilizes DS18B20, heartbeat sensor, and accelerometer. The system is designed secured by providing a mechanism to authenticate the user to get access to patient data. Implemented system hardware prototype consists of two controllers that provide a mechanism to bring personal health status in the normal range in case of emergency.","PeriodicalId":447663,"journal":{"name":"2018 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISES.2018.00044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
Wireless sensor networks (WSNs) have witnessed advancement in medical services from real-time tracking and computer-assisted machine to alert response systems. Due to a tremendous shortage of trained manpower and a huge cost for setting up state-of-the-art facilities, it is often not possible to deliver proper health care services in the rural and remote areas. Lack of accurate and timely information further adds complexity and challenges to the problem. The proposed system uses a three-tier architecture that can be generally applied to WSN based healthcare systems. The proposed model monitors the patient body temperature, heartbeat, and body position movements constantly, and sends this information to site pages and crisis centres/services from the remote location. WSNs are composed of low power consuming sensors. Raspberry pi is a credit card sized board that uses 5V power supply. The proposed and implemented system prototype uses raspberry pi that is driven by Internet of Things (IoT) connected through different sensors DS18B20, ADXL345, ADC1015 and heartbeat sensor. The framework additionally gives crisis warning to a specialist and sends the information on a web server. The framework utilizes DS18B20, heartbeat sensor, and accelerometer. The system is designed secured by providing a mechanism to authenticate the user to get access to patient data. Implemented system hardware prototype consists of two controllers that provide a mechanism to bring personal health status in the normal range in case of emergency.