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NIR-Based Electronic Platform for Glucose Monitoring for the Prevention and Control of Diabetes Mellitus

  • William Oñate
  • , Edwin Ramos-Zurita 
  • , Juan Pablo Pallo 
  • , Santiago Manzano 
  • , Paulina Ayala
  • , Marcelo V. Garcia

Research output: Contribution to journalArticlepeer-review

Abstract

The glucose level in the blood is measured through invasive methods, causing discomfort in the patient, loss of sensitivity in the area where the sample is obtained, and healing problems. This article deals with the design, implementation, and evaluation of a device with an ESP-WROOM-32D microcontroller with the application of near-infrared photospectroscopy technology that uses a diode array that transmits between 830 nm and 940 nm to measure glucose levels in the blood. In addition, the system provides a webpage for the monitoring and control of diabetes mellitus for each patient; the webpage is hosted on a local Linux server with a MySQL database. The tests are conducted on 120 people with an age range of 35 to 85 years; each person undergoes two sample collections with the traditional method and two with the non-invasive method. The developed device complies with the ranges established by the American Diabetes Association: presenting a measurement error margin of close to 3% in relation to traditional blood glucose measurement devices. The purpose of the study is to design and evaluate a device that uses non-invasive technology to measure blood glucose levels. This involves constructing a non-invasive glucometer prototype that is then evaluated in a group of participants with diabetes.

Original languageEnglish
Article number4190
JournalSensors
Volume24
Issue number13
DOIs
StatePublished - 27 Jun 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • near-infrared spectroscopy
  • NIR
  • non-invasive glucometer
  • non-invasive measurement

CACES Knowledge Areas

  • 417A Electronics, Automation and Sound

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