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

Raman spectroscopy and PCA‐SVM as a non‐invasive diagnostic tool to identify and classify qualitatively glycated hemoglobin levels 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...

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Veröffentlicht in:Journal of biophotonics 2017-08, Vol.10 (8), p.1074-1079
Hauptverfasser: Villa‐Manríquez, J. F., Castro‐Ramos, J., Gutiérrez‐Delgado, F., Lopéz‐Pacheco, M. A., Villanueva‐Luna, A. E.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Biomedical application
Case-Control Studies
Classification
Diabetes
Diabetes mellitus
Diabetes Mellitus - blood
Diagnostic software
Diagnostic systems
Ear
Forehead
Glucose
Glycated Hemoglobin A - analysis
Hemoglobin
Humans
In vivo methods and tests
medicine
Multivariable control
Patients
Principal Component Analysis
Principal components analysis
Raman spectroscopy
Sensitivity
Sensitivity and Specificity
Spectroscopy
Spectrum Analysis, Raman
Support Vector Machine
Support vector machines
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Beschreibung
Zusammenfassung: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
ISSN:1864-063X
1864-0648
DOI:10.1002/jbio.201600169