Smart Glucometer for Personalized Health Management of Diabetes Care
Pages 73 - 81
Abstract
Diabetes, a leading chronic disease in the 21st century, is caused by high blood glucose levels. High blood glucose levels are caused mainly by the pancreas’ inability to produce insulin. Diabetes patients need continuous glucose monitoring to track their glycemic profile for proper health management. Traditional glucose measurement methods typically use blood or body fluids. This research presents a non-invasive optical detecting approach for personalized health management for diabetes care. The paper presents a noninvasive glucose monitoring device known as a smart glucometer. Smart Glucometer uses the optical detection methodology with Near Infra-Red spectroscopy. Blood glucose levels are measured by analyzing the intensity of NIR light from a photodetector after passing through the finger or earlobe. The proposed device is calibrated and validated against the FDA-approved Self-Monitoring Device Accuchek for 350 subjects of healthy, prediabetic and diabetes people. The proposed smart glucometer has an excellent performance in terms of R2 value of 0.85, mARD is 4.56, and AVGE is 7.61. The proposed smart glucometer is also compared with previous related work that suggests our proposed glucose measurement device performs best in the 85 mg/dl range to 400 mg/dl range.
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Published In
May 2024
94 pages
ISBN:9798400718052
DOI:10.1145/3686614
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 15 October 2024
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- Department of Science and Technology
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ICSED 2024
ICSED 2024: 2024 6th International Conference on Software Engineering and Development
May 29 - 31, 2024
Hong Kong, Hong Kong
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