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

Martin Calero; Malena Loza; Diego Benitez

doi:10.1109/ARGENCON55245.2022.9939839

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

Martin Calero
, Malena Loza
, Diego Benitez

Ingeniería Electrónica y Automatización

Universidad San Francisco de Quito

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	English
Title of host publication	2022 IEEE Biennial Congress of Argentina, ARGENCON 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665480147
DOIs	https://doi.org/10.1109/ARGENCON55245.2022.9939839
State	Published - 2022
Event	2022 IEEE Biennial Congress of Argentina, ARGENCON 2022 - San Juan, Argentina Duration: 7 Sep 2022 → 9 Sep 2022

Publication series

Name	2022 IEEE Biennial Congress of Argentina, ARGENCON 2022

Conference

Conference	2022 IEEE Biennial Congress of Argentina, ARGENCON 2022
Country/Territory	Argentina
City	San Juan
Period	7/09/22 → 9/09/22

UN SDGs

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

SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy

Keywords

Diabetes
estimation.
glucose sensor
non invasive
prototype

Access to Document

10.1109/ARGENCON55245.2022.9939839

Cite this

Calero, M., Loza, M., & Benitez, D. (2022). Towards a Low-Cost Non-Invasive Glucose Sensor Using Near-Infrared Spectroscopy: Preliminary Results. In 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022 (2022 IEEE Biennial Congress of Argentina, ARGENCON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ARGENCON55245.2022.9939839

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

abstract = "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.",

keywords = "Diabetes, estimation., glucose sensor, non invasive, prototype",

author = "Martin Calero and Malena Loza and Diego Benitez",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022 ; Conference date: 07-09-2022 Through 09-09-2022",

year = "2022",

doi = "10.1109/ARGENCON55245.2022.9939839",

language = "Ingl{\'e}s",

series = "2022 IEEE Biennial Congress of Argentina, ARGENCON 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE Biennial Congress of Argentina, ARGENCON 2022",

}

Calero, M, Loza, M & Benitez, D 2022, Towards a Low-Cost Non-Invasive Glucose Sensor Using Near-Infrared Spectroscopy: Preliminary Results. in 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022. 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022, San Juan, Argentina, 7/09/22. https://doi.org/10.1109/ARGENCON55245.2022.9939839

Towards a Low-Cost Non-Invasive Glucose Sensor Using Near-Infrared Spectroscopy: Preliminary Results. / Calero, Martin; Loza, Malena; Benitez, Diego.
2022 IEEE Biennial Congress of Argentina, ARGENCON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Biennial Congress of Argentina, ARGENCON 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Towards a Low-Cost Non-Invasive Glucose Sensor Using Near-Infrared Spectroscopy

T2 - 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022

AU - Calero, Martin

AU - Loza, Malena

AU - Benitez, Diego

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Diabetes

KW - estimation.

KW - glucose sensor

KW - non invasive

KW - prototype

UR - https://www.scopus.com/pages/publications/85142338215

U2 - 10.1109/ARGENCON55245.2022.9939839

DO - 10.1109/ARGENCON55245.2022.9939839

M3 - Contribución a la conferencia

AN - SCOPUS:85142338215

T3 - 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022

BT - 2022 IEEE Biennial Congress of Argentina, ARGENCON 2022

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 7 September 2022 through 9 September 2022

ER -

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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