{"title":"Android Mobile Device for Smart Health Surveillance with Automated Database","authors":"R. M. Selvam, M. Pushpavalli","doi":"10.46610/joaat.2022.v07i03.005","DOIUrl":null,"url":null,"abstract":"The electrocardiogram and temperature of the patient's body are continuously measured and displayed by the Smart Health Surveillance system, which also communicates with the doctor. The device uses an infrared sensor to measure ECG and temperature sensors to measure the patient's mouth and wrist temperatures. The microcontroller automatically talks with the web server and shows data from the sensors. The patient's vital signs are gathered using the current approach, which then manually enters the data into a database and sends it to a web server. The current approach does not warn the immediate area or the doctor when abnormal situations arise. An android device running our system's server application visualization module displays the gathered biological signals visually.","PeriodicalId":373691,"journal":{"name":"Journal of Android and IOS Applications and Testing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Android and IOS Applications and Testing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46610/joaat.2022.v07i03.005","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
The electrocardiogram and temperature of the patient's body are continuously measured and displayed by the Smart Health Surveillance system, which also communicates with the doctor. The device uses an infrared sensor to measure ECG and temperature sensors to measure the patient's mouth and wrist temperatures. The microcontroller automatically talks with the web server and shows data from the sensors. The patient's vital signs are gathered using the current approach, which then manually enters the data into a database and sends it to a web server. The current approach does not warn the immediate area or the doctor when abnormal situations arise. An android device running our system's server application visualization module displays the gathered biological signals visually.