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Development of a Noninvasive Blood Glucose Monitoring System Prototype: Pilot Study.

Maria Valero1, Priyanka Pola1, Oluwaseyi Falaiye2

  • 1Department of Information Technology, Kennesaw State University, Marietta, GA, United States.

JMIR Formative Research
|August 26, 2022
PubMed
Summary

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This study introduces a novel, noninvasive glucose monitoring prototype using laser technology. The device shows promising accuracy for diabetes management, potentially eliminating painful finger pricks for blood glucose monitoring.

Area of Science:

  • Biomedical Engineering
  • Medical Devices
  • Spectroscopy

Background:

  • Diabetes mellitus requires continuous blood glucose monitoring.
  • Current monitoring methods (glucometers) are invasive and painful.
  • There is a need for noninvasive, affordable glucose monitoring solutions.

Purpose of the Study:

  • To pilot test a noninvasive glucose monitoring prototype.
  • To evaluate the accuracy of a laser-based, near-infrared spectroscopy system.
  • To assess the feasibility of a low-cost, continuous blood sugar monitoring device.

Main Methods:

  • Developed a prototype using Raspberry Pi, a camera, and a visible light laser.
  • Utilized an artificial neural network model with TensorFlow and Python for glucose estimation.
Keywords:
deep learningdiabetesglucose concentrationglucose monitoringmachine learningnoninvasive monitoringoptical sensors

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  • Conducted a pilot study with 8 volunteers, testing on fingers and ears, comparing results with glucometers.

    • Main Results:

    • Achieved 79% accuracy using finger images and 62% accuracy using ear images.
    • Encouraging results despite a limited dataset.
    • Identified limitations: database size, external factors (skin color, temperature), and prototype enclosure.

    Conclusions:

    • Demonstrated feasibility of estimating blood glucose concentration using infrared images and a small hardware prototype.
    • The affordable device shows potential to replace invasive finger pricks for diabetes management.
    • Further studies are needed to address limitations and improve robustness.