{"title":"eHealth and Smart Solutions framework for health monitoring in the course of the pandemic","authors":"János Dávid Balogh, A. Adamkó","doi":"10.59287/icpis.864","DOIUrl":null,"url":null,"abstract":"Our main objective focusing on the different design principles for applications which can receiveand store various data from smart devices e.g., smart bands, smart watches, smart homes and could gainmore information about its users with some extent to their health. We would like to collect this information,store them, then create well understandable diagrams and show them to the user in a modern, responsiveenvironment. We placed great em- phasis on the architecture which holds the necessary features (scalabilityand extensibility). We have followed the standards, recommendations, and protocols during the designprocess. The result is an application framework which fulfills the duty of an XXI. century smart solutionsapplication that could monitor the health of people and even help to live a healthier life avoiding chronicdisorders e.g., obesity and/or diabetes. We focused on predicting and classifying on COVID-19 disease tooaccording to the collected information and research results. We achieved tihs project using our own deviceslike a Samsung Galaxy Watch 2 whch comes integrated Tizen OS and gave the opportunity to develop adata sending application on it. On the other hand we worked with smartbands like the Xiaomi Mi Band 6but it does not have programable OS so we needed to find a solution to collect data from it but his case isdiscussed in the paper later. We would like to implement this project live with the Clinic of our universityto get more real cases and data. We are working on a solution where everyone could have their own medicalassistant to predict and prevent healthcare issues.","PeriodicalId":292916,"journal":{"name":"International Conference on Pioneer and Innovative Studies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Pioneer and Innovative Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59287/icpis.864","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
Our main objective focusing on the different design principles for applications which can receiveand store various data from smart devices e.g., smart bands, smart watches, smart homes and could gainmore information about its users with some extent to their health. We would like to collect this information,store them, then create well understandable diagrams and show them to the user in a modern, responsiveenvironment. We placed great em- phasis on the architecture which holds the necessary features (scalabilityand extensibility). We have followed the standards, recommendations, and protocols during the designprocess. The result is an application framework which fulfills the duty of an XXI. century smart solutionsapplication that could monitor the health of people and even help to live a healthier life avoiding chronicdisorders e.g., obesity and/or diabetes. We focused on predicting and classifying on COVID-19 disease tooaccording to the collected information and research results. We achieved tihs project using our own deviceslike a Samsung Galaxy Watch 2 whch comes integrated Tizen OS and gave the opportunity to develop adata sending application on it. On the other hand we worked with smartbands like the Xiaomi Mi Band 6but it does not have programable OS so we needed to find a solution to collect data from it but his case isdiscussed in the paper later. We would like to implement this project live with the Clinic of our universityto get more real cases and data. We are working on a solution where everyone could have their own medicalassistant to predict and prevent healthcare issues.