Vasileios Tsoulchas, N. Tsolis, Eirini Zoumi, Emmanouil Skondras, D. Vergados
{"title":"Health Monitoring of People with Diabetes using IoT and 5G Wireless Network Infrastructures","authors":"Vasileios Tsoulchas, N. Tsolis, Eirini Zoumi, Emmanouil Skondras, D. Vergados","doi":"10.1109/IISA50023.2020.9284388","DOIUrl":null,"url":null,"abstract":"During the last years, Internet of Things (IoT) is evolving rapidly, providing a vast range of equipment that fits in all aspects of modern life. Indicatively, wearable devices can be used for monitoring people’s health, since several people need continuous medical supervision due to health problems they face. Meanwhile the continuous monitoring of their health status with traditional ways, such as with daily visits at hospitals, brings several limitations to their daily lives while at the same time it does not provide supervision on a 24-hour basis. This paper proposes a model to monitor the health of people with diabetes melitus, a disease with high incident rates mainly at the elderly but also in younger people. Specifically, a study about the existing medically approved technologies for continuous measurement of diabetes is described. Subsequently, the model for monitoring patient’s blood glucose levels is descibed. Whenever a patient’s blood glucose levels are Low or High, the model triggers an alarm to a Cloud infrastructure in order remote medical staff to provide immediate cure to the patient. Furthermore, in order to assure the immediate response of the remote medical staff, the proposed model is deployed upon a 5G wireless network architecture.","PeriodicalId":109238,"journal":{"name":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 11th International Conference on Information, Intelligence, Systems and Applications (IISA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISA50023.2020.9284388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
During the last years, Internet of Things (IoT) is evolving rapidly, providing a vast range of equipment that fits in all aspects of modern life. Indicatively, wearable devices can be used for monitoring people’s health, since several people need continuous medical supervision due to health problems they face. Meanwhile the continuous monitoring of their health status with traditional ways, such as with daily visits at hospitals, brings several limitations to their daily lives while at the same time it does not provide supervision on a 24-hour basis. This paper proposes a model to monitor the health of people with diabetes melitus, a disease with high incident rates mainly at the elderly but also in younger people. Specifically, a study about the existing medically approved technologies for continuous measurement of diabetes is described. Subsequently, the model for monitoring patient’s blood glucose levels is descibed. Whenever a patient’s blood glucose levels are Low or High, the model triggers an alarm to a Cloud infrastructure in order remote medical staff to provide immediate cure to the patient. Furthermore, in order to assure the immediate response of the remote medical staff, the proposed model is deployed upon a 5G wireless network architecture.