Application of SG-MSC-MC-UVE-PLS Algorithm in Whole Blood Hemoglobin Concentration Detection Based on Near Infrared Spectroscopy

Dai-qing SUN; Li-rong XIE; Yan ZHOU; Yu-tao GUO; Shao-min CHE

doi:10.3964/j.issn.1000-0593(2021)09-2754-05

Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 9 >Page 2754 > Article

Spectroscopy and Spectral Analysis
Vol. 41, Issue 9, 2754 (2021)

Application of SG-MSC-MC-UVE-PLS Algorithm in Whole Blood Hemoglobin Concentration Detection Based on Near Infrared Spectroscopy

Dai-qing SUN^1,*, Li-rong XIE^{1,1; *;}, Yan ZHOU^2,2;, Yu-tao GUO^1,1;, and Shao-min CHE^2,2;

Author Affiliations

¹1. School of Electrical Engineering, Xinjiang University, Urumqi 830047, China

²2. School of Energy & Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China

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DOI: 10.3964/j.issn.1000-0593(2021)09-2754-05 Cite this Article

Dai-qing SUN, Li-rong XIE, Yan ZHOU, Yu-tao GUO, Shao-min CHE. Application of SG-MSC-MC-UVE-PLS Algorithm in Whole Blood Hemoglobin Concentration Detection Based on Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(9): 2754 Copy Citation Text

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R2 curves for the original spectra of whole blood signals(a): Transmission spectrum; (b): Absorbance spectrum

Fig. 1. R² curves for the original spectra of whole blood signals
(a): Transmission spectrum; (b): Absorbance spectrum

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R2* vs. the width of the SG-MSC method(a): R2*vs. the width; (b): R2 after preporcessing by SG-MSC

Fig. 2. R²^* vs. the width of the SG-MSC method
(a): R^2*vs. the width; (b): R² after preporcessing by SG-MSC

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Method	原始透射	原始吸收	中心化	标准化	SNV	MSC	SG-MSC
R^2*	0.003 5	0.005 0	0.005 0	0.005 0	0.070 6	0.105 2	0.944 1

Table 1. Comparison of R^2* values of different preprocessing methods

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Signals	NW	R²	RMSEP	MAE	MRE
原始透射PLS	700	0.676 3	0.898 1	2.426 1	0.140 24
原始吸收PLS	700	0.896 1	0.464 2	1.63	0.094 2
SG-MSC- PLS	700	0.972 8	0.229 0	0.494 3	0.028 6
SG-MSC-MC-UVE-PLS	191	0.979 1	0.220 3	0.411 2	0.023 8
二阶导数+UVE+PLS	209	0.967 6	0.300 3	-	-

Table 2. Determination results for PLS models

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