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Updated: Sep 20, 2025

Rapid Homogeneous Detection of Biological Assays Using Magnetic Modulation Biosensing System

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A Contactless Glucose Solution Concentration Measurement System Based on Improved High Accurate FMCW Radar Algorithm.

Chengjie Liu¹, Yuan Du¹, Li Du¹

¹School of Electronic Science and Engineering, Nanjing University, Nanjing 210000, China.

Sensors (Basel, Switzerland)

|June 10, 2022

Summary

Contactless blood glucose measurement using 77-GHz FMCW radar offers a pain-free alternative to invasive testing. This novel system achieves high accuracy for ex vivo glucose concentration determination.

Keywords:

FMCW radar PSD convolutional neural network deep learning algorithm sparrow search algorithm wavelet transform

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Last Updated: Sep 20, 2025

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Area of Science:

Biomedical Engineering
Electrical Engineering
Analytical Chemistry

Background:

Invasive blood glucose testing poses risks of pain and cross-infection.
Accurate ex vivo glucose measurement is crucial for various applications.

Purpose of the Study:

To develop a contactless method for measuring glucose concentration.
To enhance the accuracy and reduce the invasiveness of glucose monitoring.

Main Methods:

A 77-GHz frequency-modulated continuous-wave (FMCW) radar system was designed.
Signal processing algorithms and a deep neural network were employed.
The system measured the reflected coefficient of millimeter-waves from glucose solutions.

Main Results:

The developed system accurately measured glucose solution concentration.
The ex vivo glucose measurement achieved a resolution of 0.1 mg/mL.
Contactless sensing minimized pain and infection risk.

Conclusions:

The 77-GHz FMCW radar system provides a viable contactless solution for glucose measurement.
Integration of signal processing and deep learning enhances measurement accuracy.
This technology holds promise for improved diabetes management and diagnostics.