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Raman spectroscopy and PCA-SVM as a non-invasive diagnostic tool to identify and classify qualitatively glycated hemoglobin levels in vivo

Authors :
A. E. Villanueva-Luna
J. F. Villa-Manríquez
M. A. Lopéz-Pacheco
F. Gutiérrez-Delgado
J. Castro-Ramos
Source :
Journal of Biophotonics. 10:1074-1079
Publication Year :
2016
Publisher :
Wiley, 2016.

Abstract

combination of Raman spectroscopy and PCA-SVM are feasible non-invasive diagnostic tool in diabetes to classify qualitatively high and low levels of HbA1c in vivo. In this study we identify and classify high and low levels of glycated hemoglobin (HbA1c) in healthy volunteers (HV) and diabetic patients (DP). Overall, 86 subjects were evaluated. The Raman spectrum was measured in three anatomical regions of the body: index fingertip, right ear lobe, and forehead. The measurements were performed to compare the difference between the HV and DP (22 well controlled diabetic patients (WCDP) (HbA1c

Details

ISSN :
1864063X
Volume :
10
Database :
OpenAIRE
Journal :
Journal of Biophotonics
Accession number :
edsair.doi.dedup.....d4e710063618c0ca6bbebbc7ee54a095
Full Text :
https://doi.org/10.1002/jbio.201600169