Blood Glucose Determination by Fourier Transform near Infrared Spectroscopy

F. S. Rondonuwu, F. S. Rondonuwu, A. Setiawan, A. Setiawan, F. F. Karwur

2019

Abstract

Diabetes is a metabolic disorder that is caused by unregulated blood glucose and therefore requires regular and intensive monitoring. Currently, blood sugar monitoring is mostly done invasively by withdrawing blood through a needle or piercing of the fingertips. This method can cause trauma and an infection. However, there is the potential for using a non-invasive measurement of blood glucose levels with near-infrared spectroscopy (NIRS) combined with partial least-square regression. As a pathway to actualize it, the spectrum of whole blood was measured with different glucose levels. A total of 72 NIR spectrum from 8 whole blood samples with different types of glucose levels were measured. A principal component analysis (PCA) and partial least square regression (PLSR) were applied to the spectral data matrix. The results showed that PCA is successfully classified as spectral data based on the glucose content and PLSR model within the clinically accurate region of the Clarke error grid. These results indicate that NIRS has an immense potential to be applied in measuring blood glucose non-invasively.

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Paper Citation


in Harvard Style

Rondonuwu F., Setiawan A. and Karwur F. (2019). Blood Glucose Determination by Fourier Transform near Infrared Spectroscopy. In Proceedings of the 1st International MIPAnet Conference on Science and Mathematics - Volume 1: IMC-SciMath, ISBN 978-989-758-556-2, pages 302-307. DOI: 10.5220/0010163200002775


in Bibtex Style

@conference{imc-scimath19,
author={F. S. Rondonuwu and A. Setiawan and F. F. Karwur},
title={Blood Glucose Determination by Fourier Transform near Infrared Spectroscopy},
booktitle={Proceedings of the 1st International MIPAnet Conference on Science and Mathematics - Volume 1: IMC-SciMath,},
year={2019},
pages={302-307},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010163200002775},
isbn={978-989-758-556-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International MIPAnet Conference on Science and Mathematics - Volume 1: IMC-SciMath,
TI - Blood Glucose Determination by Fourier Transform near Infrared Spectroscopy
SN - 978-989-758-556-2
AU - Rondonuwu F.
AU - Setiawan A.
AU - Karwur F.
PY - 2019
SP - 302
EP - 307
DO - 10.5220/0010163200002775