Portable Infrared-Based Glucometer Reinforced with Fuzzy Logic.

Area of Science:

• Biomedical Engineering
• Analytical Chemistry
• Endocrinology

Background:

• Diabetes mellitus (DM) requires frequent blood glucose monitoring, often involving painful finger pricks.
• Current methods for gestational diabetes diagnosis and monitoring are invasive and inconvenient.
• There is a need for non-invasive, real-time glucose monitoring solutions.

Purpose of the Study:

• To develop a non-invasive method for real-time glucose monitoring.
• To utilize mid-infrared (IR) spectroscopy for detecting glucose in human tears and blood.
• To enhance accuracy using a fuzzy logic-based calibration mechanism.

Main Methods:

• Development of a non-invasive glucose monitoring device integrating an IR sensor and Arduino controller.
• Utilizing mid-infrared spectroscopy to analyze glucose absorbance in tears and fingertip blood.
• Implementing a fuzzy logic-based calibration algorithm to improve measurement accuracy.

Main Results:

• The developed device achieved high accuracy and reliability in glucose level estimation.
• The system demonstrated an error rate of less than 3%, with 97.5% of measurements falling into Zone A of the Clarke Error Grid.
• The non-invasive method showed clinically precise and acceptable blood glucose level estimates.

Conclusions:

• The proposed non-invasive glucose monitoring system offers a comfortable and accurate alternative to traditional methods.
• Mid-infrared spectroscopy combined with fuzzy logic calibration provides a reliable approach for real-time glucose detection.
• This technology has the potential to significantly improve patient compliance and quality of life for individuals with diabetes.