Virtual sensor for diabetes meter in u-health service
- Authors
- Lee, B.M.; Kang, U.G.
- Issue Date
- Dec-2014
- Publisher
- Science and Engineering Research Support Society
- Keywords
- Diabetes; Intelligent algorithm; Internet of things; u-heahth; Virtual sensor
- Citation
- International Journal of Bio-Science and Bio-Technology, v.6, no.6, pp.87 - 96
- Journal Title
- International Journal of Bio-Science and Bio-Technology
- Volume
- 6
- Number
- 6
- Start Page
- 87
- End Page
- 96
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/13099
- DOI
- 10.14257/ijbsbt.2014.6.6.09
- ISSN
- 2233-7849
- Abstract
- The existing home glucose meters have enabled patients to conduct the self-management of diabetes mellitus by displaying their blood glucose value. However, obtaining a more accurate risk level of diabetes mellitus requires consideration not only of the patient’s blood pressure and obesity, but also their first-degree relatives with diabetes. Therefore, in this study, we designed and suggested an intelligent sensor algorithm in order to analyze the risk level of diabetes for IoT-based u-health services. This algorithm is expected to enhance the effectiveness of the patient’s self-management provided that it functions effectively in a virtual sensor for diabetes. Finally, based on the findings of the experiment, its effectiveness was confirmed in the proposed model. © 2014 SERSC.
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