Revolutionizing Glucose Monitoring: A Non-Invasive Approach with IoT

This research presents a novel non-invasive sweat glucose monitoring system that utilizes the BLYNK web server for real-time data visualization and analysis. Diabetes management often requires frequent blood glucose monitoring, which can be inconvenient for patients. The proposed system aims to provide a more user-friendly and continuous monitoring solution by measuring glucose levels in sweat. The system consists of a wearable device equipped with non-invasive sweat glucose sensors, a microcontroller for data processing, and a wireless module for communication with the BLYNK web server. The sensors utilize advanced technologies to accurately measure glucose levels in sweat without the need for blood samples. The microcontroller processes the sensor data and transmits it securely to the BLYNK server using a wireless connection. The BLYNK web server offers a user-friendly interface accessible through mobile applications, allowing patients and healthcare providers to monitor glucose levels in real time. This research contributes to the ongoing efforts to develop innovative solutions for effective and user-friendly glucose monitoring, ultimately empowering individuals with diabetes to better control their condition.

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Publication Details

Published
2025-08-08
DOI
https://doi.org/10.1109/icbmesh66209.2025.11182203
Primary Topic
Particle physics theoretical and experimental studies
Type
article
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article

Revolutionizing Glucose Monitoring: A Non-Invasive Approach with IoT

Particle physics theoretical and experimental studies
article

Revolutionizing Glucose Monitoring: A Non-Invasive Approach with IoT

article en

Abstract

This research presents a novel non-invasive sweat glucose monitoring system that utilizes the BLYNK web server for real-time data visualization and analysis. Diabetes management often requires frequent blood glucose monitoring, which can be inconvenient for patients. The proposed system aims to provide a more user-friendly and continuous monitoring solution by measuring glucose levels in sweat. The system consists of a wearable device equipped with non-invasive sweat glucose sensors, a microcontroller for data processing, and a wireless module for communication with the BLYNK web server. The sensors utilize advanced technologies to accurately measure glucose levels in sweat without the need for blood samples. The microcontroller processes the sensor data and transmits it securely to the BLYNK server using a wireless connection. The BLYNK web server offers a user-friendly interface accessible through mobile applications, allowing patients and healthcare providers to monitor glucose levels in real time. This research contributes to the ongoing efforts to develop innovative solutions for effective and user-friendly glucose monitoring, ultimately empowering individuals with diabetes to better control their condition.

Karunya University (IN)
Zero hunger
Openalex Percentile: Top 30%
Particle physics theoretical and experimental studies
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