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- W3082695416 abstract "In this paper, a novel pre-treatment technique Hilbert Huang Transformation with filtering (HHTF) that is coupling of the Hilbert Huang Transformation and the digital filtering is proposed for the measurement of glucose from near infrared spectroscopy. HHTF comprises of the Empirical Mode Decomposition (EMD) and the Hilbert Spectral Analysis. In Hilbert spectral analysis, Butterworth filtering was used to eliminate the noise present in the Intrinsic Mode Functions (IMFs). The traditional Partial Least squares Regression (PLSR) has been used as the regression method. The proposed HHTF with the PLSR method has been assessed to determine the concentration of glucose from near infrared spectra of two distinct compositions that are prepared by mixing triacetin, urea and glucose in a phosphate buffer solution (PBS) and another composition of glucose and human serum albumin in a PBS. The efficiency of the proposed method has been compared with the standard normal variate and the 1st derivative preprocessing methods and is shown to outperform both." @default.
- W3082695416 created "2020-09-08" @default.
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- W3082695416 date "2020-07-01" @default.
- W3082695416 modified "2023-10-12" @default.
- W3082695416 title "Hilbert Huang Transformation with filtering as a pre-treatment method for the quantitative study of glucose in near infrared spectra" @default.
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- W3082695416 doi "https://doi.org/10.1109/embc44109.2020.9175234" @default.
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