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Non-invasive glucometer monitoring system through optical based near-infrared sensor method.

Authors :
Vanaja, S.
T, Ravi Babu
Malathi, M.
Saxena, Kuldeep K
Sheela, J. Joselin Jeya
Suruthi, S.
.B, Stalin
Nagaprasad, N.
Krishnaraj, Ramaswamy
Bandhu, Din
Reddy, Uma
Source :
Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; Dec2024, Vol. 12 Issue 1, p1-10, 10p
Publication Year :
2024

Abstract

Diabetes is a fast-developing medical issue that causes most renal and cardiac illnesses. Thus, diabetes management requires regular glucose monitoring. One potential technology is non-invasive glucometer monitoring. This work aims to develop a user-friendly near-infrared sensor-based non-invasive glucose monitoring system, correlating sensor output voltage variations with glucose levels, to provide accurate and convenient glucose monitoring for diabetes management. The objective is to validate the system's accuracy against existing fingerpick methods and analyze its performance across different age groups and food intake conditions through experimental testing and Clarke grid analysis. In our research, we propose a near-infrared sensor-based non-invasive-type glucose monitoring technique which is a user-friendly system. The experimental setup and prototype system are designed and implemented for measuring the variation of glucose level with respect to a sensor output voltage. Using Beer Lambert's law, the established results correlated the absorbance property of light with the sample concentration level. Demonstration of testing for different aged people was done under various food intake conditions. The obtained results are tabulated and validated with the existing fingerpick method and achieved an accuracy of 97.8%. Also, Clarke grid analysis has been done and depicted the pattern obtained. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21681163
Volume :
12
Issue :
1
Database :
Complementary Index
Journal :
Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation
Publication Type :
Academic Journal
Accession number :
181234074
Full Text :
https://doi.org/10.1080/21681163.2024.2327423