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Internet of Things-Based Personal Device for Diabetes Mellitus Treatment and Management

Internet of Things-Based Personal Device for Diabetes Mellitus Treatment and Management

Anurup Salokhe, Murugan Krishnamoorthy
Copyright: © 2022 |Volume: 6 |Issue: 1 |Pages: 12
ISSN: 2473-4365|EISSN: 2473-4373|EISBN13: 9781683183150|DOI: 10.4018/IJHIoT.304441
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MLA

Salokhe, Anurup, and Murugan Krishnamoorthy. "Internet of Things-Based Personal Device for Diabetes Mellitus Treatment and Management." IJHIOT vol.6, no.1 2022: pp.1-12. http://doi.org/10.4018/IJHIoT.304441

APA

Salokhe, A. & Krishnamoorthy, M. (2022). Internet of Things-Based Personal Device for Diabetes Mellitus Treatment and Management. International Journal of Hyperconnectivity and the Internet of Things (IJHIoT), 6(1), 1-12. http://doi.org/10.4018/IJHIoT.304441

Chicago

Salokhe, Anurup, and Murugan Krishnamoorthy. "Internet of Things-Based Personal Device for Diabetes Mellitus Treatment and Management," International Journal of Hyperconnectivity and the Internet of Things (IJHIoT) 6, no.1: 1-12. http://doi.org/10.4018/IJHIoT.304441

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Abstract

The importance of diabetes treatment in various conditions majorly included elder individuals and home patients with diabetes having very difficult conditions variables influence blood glucose levels in a patient. Symptoms like sickness, physical movement, drugs, intravenous liquids cause unusual and conceivably hazardous variances in glucose regimen glycemic list and by this way patients need to measurement prompting portion, which finishes in a partly scene of hyperglycemia and hypoglycemia. The glucose sugar level inside a human could be estimated by inserting IR radiations. For this purpose, a personal device was created to assist in the determination of insulin therapy dose and consider further factors. The arrangement proposed relies on the Internet of Things from one viewpoint of a patient dependent on close to home RFID cards and the doctor to give worldwide network between the individual gadget made for the patient dependent on 6LoWPAN, program for attendants/doctors to screen individual wellbeing cards, the glycemic file data framework and the patient web-based interface.

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