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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
- 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
- Subjects :
- Pathology
medicine.medical_specialty
Support Vector Machine
General Physics and Astronomy
Spectrum Analysis, Raman
Sensitivity and Specificity
01 natural sciences
General Biochemistry, Genetics and Molecular Biology
010309 optics
symbols.namesake
chemistry.chemical_compound
In vivo
Diabetes mellitus
0103 physical sciences
Diabetes Mellitus
medicine
Humans
General Materials Science
Glycated Hemoglobin
Principal Component Analysis
Receiver operating characteristic
business.industry
Chemistry
010401 analytical chemistry
Non invasive
General Engineering
General Chemistry
medicine.disease
0104 chemical sciences
Support vector machine
medicine.anatomical_structure
Case-Control Studies
Forehead
symbols
Glycated hemoglobin
Nuclear medicine
business
Raman spectroscopy
Algorithms
Subjects
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