Assessment of Finger Fat Pad Effect on CSRR-Based Sensor Scattering Parameters for Non-Invasive Blood Glucose Level...

Area of Science:

• Biomedical Engineering
• Microwave Sensing Technology
• Metamaterial Applications

Background:

• Non-invasive blood glucose monitoring is crucial for diabetes management.
• Complementary Split-Ring Resonators (CSRRs) show potential for microwave-based biosensing.
• Accurate modeling of biological tissues is essential for sensor performance.

Purpose of the Study:

• To investigate the influence of finger fat pad thickness on CSRR microwave sensor accuracy.
• To validate a simplified four-layer Cole-Cole model for simulating tissue properties.
• To assess the performance of CSRR sensors for non-invasive blood glucose detection.

Main Methods:

• Utilized a CSRR-based microwave sensor design.
• Employed a four-layer Cole-Cole dielectric model for finger tissue simulation.
• Performed experimental validation by measuring scattering parameters (S-parameters) across a frequency range (1-4 GHz).
• Introduced a figure of merit (FM) to quantify model accuracy.

Main Results:

• The Cole-Cole model demonstrated close agreement with experimental measurements.
• Maximum error difference was found to be below 1.73 dB across all tested fingertips.
• The model accurately reflects the impact of varying fat layer thicknesses on sensor response.

Conclusions:

• The validated Cole-Cole model accurately predicts the performance of CSRR microwave sensors.
• Finger fat pad thickness is a significant factor influencing non-invasive glucose sensing accuracy.
• CSRR-based microwave sensors show promise for reliable, non-invasive blood glucose monitoring.