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INTERNATIONAL JOURNAL OF RECENT TRENDS IN TECHNOLOGY AND ENGINEERING (IJRTTE)

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Innovative Approaches for Non-Invasive Glucose Monitoring Device Development

Lokasani Bhanuprakash
Associate Professor, Department of Mechanical Engineering, MLR Institute of Technology, India.
Prasanna Kumar Yekula
Professor, School of Mining Engineering, Faculty of Engineering, PNG University of Technology, India.

Keywords: Non-invasive glucose monitoring, hybrid sensors, machine learning, adaptive calibration, sweat glucose sensing, microwave resonance, photonic integrated circuits, wearable healthcare devices, personalized prediction, microfluidics, embedded AI.

Abstract

The accurate and continuous monitoring of blood glucose levels is crucial for effective diabetes management. However, existing non-invasive glucose monitoring techniques often suffer from significant limitations related to accuracy, calibration, sensor stability, and patient variability. In this research, a novel multi-modal non-invasive glucose monitoring system is proposed that integrates hybrid sensing technologies, including mid-infrared spectroscopy, microwave resonance, and sweat-based electrochemical sensors. The system employs advanced signal fusion algorithms and adaptive calibration models to dynamically compensate for environmental factors such as humidity, temperature, and skin properties. Machine learning-based personalized prediction models, trained on diverse real-world datasets, further enhance predictive accuracy and ensure model generalization across varied population groups. Microfluidic sweat stabilization chambers and real-time normalization techniques are incorporated to overcome sweat composition variability, improving measurement reliability even under varying physiological conditions. The developed device leverages cost-effective photonic integrated circuits and low-power embedded AI to enable miniaturization, long-term wearability, and seamless integration into consumer-grade wearable platforms. Preliminary clinical trials demonstrate high accuracy, robust stability, and adaptability, offering a promising pathway towards regulatory acceptance and real-world adoption of non-invasive glucose monitoring systems.
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Published
2025-03-25
Pages
1-3
Issue
Vol. 4 No. 1 (2025): IJRTTE - 04 - 01
Section
Articles

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