DIY-IoT Based Non Invasive Blood Glucose Monitoring System

DOI

10.2991/978-94-6239-664-7_78How to use a DOI?

Keywords

Silent Killer; ESP32; NIR; Non-Invasive; Cost effective

Abstract

Diabetes is widely recognized as a “silent killer” because of its asymptomatic onset behavior and serious long-term health consequences. Continuous high blood glucose level as an indication of the prediabetic phase. Hence, accurate and consistent glucose level monitoring is imperative for living a healthy life. In contrast, unawareness and conventional finger-prick glucose monitoring system discourage individuals from maintaining consistent monitoring practices. Consequently, by 2024 an estimated 589 million adults aged 20–79 years are living with diabetes globally, according to the International Diabetes Federation (IDF) Atlas 11th Edition-2025 report. The proposed solution is focused on mitigating the existing discomfort associated with finger-prick method while leaving the solution cost effective. In this research paper, we developed a non-invasive blood glucose monitoring device by using NIR spectroscopy technology. The device utilizes an ESP-32 microcontroller, 940nm NIR LED, photoconductive monolithic photodiode sensor and a red channel of an RGB LED. The blood glucose level is calculated by incorporating Beer-Lambert Law, which computes concentration based on changes in light intensity and result showed in LCD display. The prototype costs less than $20 and achieves over 90% accuracy, surpassing the average performance of invasive devices. Overall, the device provides modularity; removes finger-pricks disadvantages while upholding affordability.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Md Baker Hossen
AU  - Robi Roy
AU  - Ananna Rayhan
AU  - Abir Mahmud Shahariar
PY  - 2026
DA  - 2026/06/08
TI  - DIY-IoT Based Non Invasive Blood Glucose Monitoring System
BT  - Proceedings of the International Conference on Intelligent Data Analysis and Applications (IDAA 2025)
PB  - Atlantis Press
SP  - 1147
EP  - 1158
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-664-7_78
DO  - 10.2991/978-94-6239-664-7_78
ID  - Hossen2026
ER  -