Study on the Wavelength Selection Based on VIP Analysis in Noninvasive Measurement of Blood Components
Selection of independent variable is a hotspot in the field of quantitative spectral analysis. Efficient and easy-to-use method for wavelength selection can not only reduce the computation and improve the accuracy of analysis, but also can reduce dependency on the spectral resolution of instruments and cut cost. Wavelength selection is also an important part of the research about noninvasive measurement of blood components by spectrum technology. Dynamic Spectrum theory provides excellent ideas for researchers, but only broadband light source and high-resolution spectrograph were used in correlational studies for a long time. The large number of wavelengths needed for analysis limits the further development of Dynamic Spectrum method. In order to remove redundancy information and make the devices low-cost and integrated, the method of Wavelength selection on the basis of Variable Importance in Projection (VIP) analysis was proposed. Variables with less importance were removed and wavelengths with great explanation power were retained after VIP analysis the number of wavelengths was reduced from 586 to 64. PLS model with 64 wavelengths get a satisfactory predict result that the MREP is 1.82%. The significance test through Bootstrap method validate the selected wavelengths’ explanation power. Moreover, the study pointed out the sensitive wavelengths in Dynamic Spectrum method for the first time. Study also took the first step toward the practical application of Dynamic Spectrum and laid the foundation of low-cost on-line analysis, and it also provided valuable references and new ideas for spectral analysis in other areas.
| Medienart: |
Artikel |
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| Erscheinungsjahr: |
2016 |
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| Erschienen: |
2016 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:36 |
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| Enthalten in: |
Guang pu xue yu guang pu fen xi = Guang pu - 36(2016), 4 vom: 04. Apr., Seite 1080-4 |
| Sprache: |
Chinesisch |
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| Beteiligte Personen: |
He, Wen-qin [VerfasserIn] |
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| Themen: |
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| Anmerkungen: |
Date Completed 13.12.2018 Date Revised 13.12.2018 published: Print Citation Status MEDLINE |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM286920220 |
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| 520 | |a Selection of independent variable is a hotspot in the field of quantitative spectral analysis. Efficient and easy-to-use method for wavelength selection can not only reduce the computation and improve the accuracy of analysis, but also can reduce dependency on the spectral resolution of instruments and cut cost. Wavelength selection is also an important part of the research about noninvasive measurement of blood components by spectrum technology. Dynamic Spectrum theory provides excellent ideas for researchers, but only broadband light source and high-resolution spectrograph were used in correlational studies for a long time. The large number of wavelengths needed for analysis limits the further development of Dynamic Spectrum method. In order to remove redundancy information and make the devices low-cost and integrated, the method of Wavelength selection on the basis of Variable Importance in Projection (VIP) analysis was proposed. Variables with less importance were removed and wavelengths with great explanation power were retained after VIP analysis the number of wavelengths was reduced from 586 to 64. PLS model with 64 wavelengths get a satisfactory predict result that the MREP is 1.82%. The significance test through Bootstrap method validate the selected wavelengths’ explanation power. Moreover, the study pointed out the sensitive wavelengths in Dynamic Spectrum method for the first time. Study also took the first step toward the practical application of Dynamic Spectrum and laid the foundation of low-cost on-line analysis, and it also provided valuable references and new ideas for spectral analysis in other areas | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Yan, Wen-juan |e verfasserin |4 aut | |
| 700 | 1 | |a He, Guo-quan |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Zeng-bao |e verfasserin |4 aut | |
| 700 | 1 | |a Tan, Yong |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Gang |e verfasserin |4 aut | |
| 700 | 1 | |a Lin, Ling |e verfasserin |4 aut | |
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