Towards a Low-Cost Non-Invasive Glucose Sensor Using Near-Infrared Spectroscopy: Preliminary Results

Martin Calero, Malena Loza, Diego Benitez

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Resumen

This paper presents the preliminary results of a non-invasive glucose sensor using near-infrared spectroscopy to obtain a glucose measurement by analyzing the glucose light absorption at two specific wavelengths. A data acquisition circuit, which includes LED control state, trans-impedance amplifier, and filtering circuits, was designed as well as an estimation algorithm using Partial Least Square (PLS) regression. Data were acquired through three different stages, each with different conditions. The system was calibrated using 60 samples from each wavelength and tested with 12 data samples. The results were evaluated using the Root Mean Square Error (RMSE) and Clarke's grid error analysis.

Idioma originalInglés
Título de la publicación alojada2022 IEEE Biennial Congress of Argentina, ARGENCON 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665480147
DOI
EstadoPublicada - 2022
Evento2022 IEEE Biennial Congress of Argentina, ARGENCON 2022 - San Juan, Argentina
Duración: 7 sep. 20229 sep. 2022

Serie de la publicación

Nombre2022 IEEE Biennial Congress of Argentina, ARGENCON 2022

Conferencia

Conferencia2022 IEEE Biennial Congress of Argentina, ARGENCON 2022
País/TerritorioArgentina
CiudadSan Juan
Período7/09/229/09/22

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