Continuous Glucose Monitoring Device

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]22/09/2025 at 3:01 PM[/if 2224] | [if 1553 equals=””] Volume : 16 [else] Volume : 16[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page : 1 6

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    Omkar Shinde, Pratik Pidurkar, Saharsh Deshmukh, Sandhya A. Shirsat,

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  1. Student, Student, Student, Assistant Professor, Department of Electronics and Telecommunication, Sinhgad College of Engineering, Pune, Department of Electronics and Telecommunication, Sinhgad College of Engineering, Pune, Department of Electronics and Telecommunication, Sinhgad College of Engineering, Pune, Department of Electronics and Telecommunication, Sinhgad College of Engineering, Pune, Maharashtra, Maharashtra, Maharashtra, Maharashtra, India, India, India, India

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Abstract

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nManaging diabetes effectively requires regular monitoring of blood glucose levels, which is traditionally done through invasive methods like finger-prick tests. This work introduces a non-invasive blood glucose monitoring system utilizing the MAX30100 pulse oximeter sensor and Internet of Things (IoT) technology. The system estimates glucose levels by analyzing infrared (IR) light absorption properties, eliminating the need for direct blood sampling. Key components include the ESP32 microcontroller, cloud-based data storage, and a mobile application for real-time tracking. The findings indicate that non-invasive monitoring methods, when integrated with optimized signal processing and proper calibration strategies, can significantly enhance the accuracy of glucose estimation. This approach offers a more user-friendly and less painful alternative to traditional finger- prick methods used in diabetes management. The proposed system demonstrated promising performance, achieving an average deviation of just 6.33 mg/dl when compared with conventional glucometer readings. Such accuracy suggests strong potential for real-world application, improving patient comfort and compliance while maintaining reliable blood glucose monitoring. This advancement marks a step forward in the development of convenient, non-invasive diabetes care technologies.nn

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Keywords: Non-invasive glucose monitoring, IoT, diabetes management, blood glucose estimation, mobile app

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Electronic Design Technology ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Electronic Design Technology (joedt)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nOmkar Shinde, Pratik Pidurkar, Saharsh Deshmukh, Sandhya A. Shirsat. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]Continuous Glucose Monitoring Device[/if 2584]. Journal of Electronic Design Technology. 11/08/2025; 16(03):1-6.

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How to cite this URL:
nOmkar Shinde, Pratik Pidurkar, Saharsh Deshmukh, Sandhya A. Shirsat. [if 2584 equals=”][226 striphtml=1][else]Continuous Glucose Monitoring Device[/if 2584]. Journal of Electronic Design Technology. 11/08/2025; 16(03):1-6. Available from: https://journals.stmjournals.com/joedt/article=11/08/2025/view=0

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Original Research

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Volume 16
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 02/04/2025
Accepted 28/04/2025
Published 11/08/2025
Retracted
Publication Time 131 Days

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