{"title":"Blood Pressure Measuring Device for Hypertension Monitoring Based on Internet of Things with E-KTP Authentication","authors":"Muhammad Kirana Baiduri, D. Perdana, S. Sussi","doi":"10.1109/ICIAS49414.2021.9642538","DOIUrl":null,"url":null,"abstract":"Hypertension is a condition when blood pressure values exceed a certain number range. Hypertension can occur complications that can threaten life. Handling and fast detection can be done with the help of the Internet of Things. In this study, designed a device that can detect the risk of hypertension in patients by monitoring the patient’s blood pressure. The accuracy of the systolic value is 96.83 percent and the diastole value of 90.1 percent. The average delay from the device to the firebase for 77.72 ms, 78.89 ms, and 79.34 ms. Then from firebase to the application for 240.23 ms, 241.86 ms, and 242.47 ms. The farther the distance, the higher the delay. The jitter is 124.49 ms from device to Firebase, while from Firebase to the application is 125.62 ms. The throughput is 4,194 bps from Firebase to the application, while from the device to Firebase is 12,543 bps.","PeriodicalId":212635,"journal":{"name":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAS49414.2021.9642538","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
Hypertension is a condition when blood pressure values exceed a certain number range. Hypertension can occur complications that can threaten life. Handling and fast detection can be done with the help of the Internet of Things. In this study, designed a device that can detect the risk of hypertension in patients by monitoring the patient’s blood pressure. The accuracy of the systolic value is 96.83 percent and the diastole value of 90.1 percent. The average delay from the device to the firebase for 77.72 ms, 78.89 ms, and 79.34 ms. Then from firebase to the application for 240.23 ms, 241.86 ms, and 242.47 ms. The farther the distance, the higher the delay. The jitter is 124.49 ms from device to Firebase, while from Firebase to the application is 125.62 ms. The throughput is 4,194 bps from Firebase to the application, while from the device to Firebase is 12,543 bps.