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Application of Partial Robust M-Regression in Noninvasive Measurement of Human Blood Glucose Concentration with Near-Infrared Spectroscopy

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In the study of non-invasive measurement of human blood glucose concentration with near-infrared spectroscopy, the partial robust M-regression (PRM) is proposed in the present paper to solve the robustness of calibration model affected by outliers existing in the spectra data set. While keeping the good properties of M-estimators if an appropriate weighting scheme is chosen, PRM inherits the speed of computation and easy realization of the iterative reweighted partial least squares (IRPLS) algorithm, but is robust to all types of outliers. With the pretreatment of spectra based on PRM, the root mean square error of prediction (RMSEP) of calibration model was presented and compared with partial least squares (PLS). Experimental results show that the robust calibration model PRM produces better prediction of glucose than the model of PLS when the components of the samples increase which is significant for non-invasive prediction of blood glucose levels.
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Keywords: Human blood glucose; Near infrared spectroscopy; Partial least-squares; Partial robust M-regression; Robustness

Document Type: Research Article

Publication date: 01 August 2010

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  • Spectroscopy and Spectral Analysis, founded in 1981, is sponsored by the Chinese Central Iron & Steel Research Institute. "Spectroscopy and Spectral Analysis" has been indexed in SCI(1999), Ei(1992), MEDLINE(1999), and AJ (1999). "Spectroscopy and Spectral Analysis" publishes original contributions on various fields in Spectroscopy, including research results on laser spectroscopy, IR, Ramn, UV/Vis, Optical Emission, Absorption and Fluorescence spectroscopy, X-ray Fluorescence, and Spectrochemical Analysis, as well as Reseach paper, Research notes, Experimental Technique and Instrument, Review and Progress on the latest development of spectroscopy and spectrochemical anlysis, etc. "Spectroscopy and Spectral Analysis" is published monthly by Peking University Press with book sizes of large 16-mo format , and 292 pages per issue.
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