Multi-resolution analysis of near infrared spectroscopic data for calibration and prediction of active substances in phosphate buffer solution

C. S. Soh, P. Raveendran

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1 Citation (Scopus)

Abstract

Discrete wavelet transform is performed on near infrared spectroscopic data as a preprocessing step in calibration and prediction of active substance concentrations in phosphate buffer solutions. Wavelet coefficients from different scales are used as predictor variables to build regression model via partial least squares. The prediction results are compared with calibration model developed from raw spectroscopic data (without wavelet transform). The wavelet scale, which gives the best-improved prediction accuracy, is selected to form prediction model.

Original languageEnglish
Title of host publication3rd Kuala Lumpur International Conference on Biomedical Engineering 2006
EditorsFatimah Ibrahim, Noor Azuan Abu Osman, Juliana Usman, Nahrizul Adib Kadri
PublisherSpringer
Pages415-418
Number of pages4
ISBN (Electronic)9783540680161
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventKuala Lumpur International Conference on Biomedical Engineering (BIOMED) 2006 - Palace of the Golden Horses, Kuala Lumpur, Malaysia
Duration: 11 Dec 200614 Dec 2006
Conference number: 3rd
https://link.springer.com/book/10.1007%2F978-3-540-68017-8 (Proceedings)
https://link.springer.com/book/10.1007/978-3-540-68017-8

Publication series

NameIFMBE Proceedings
Volume15
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Conference

ConferenceKuala Lumpur International Conference on Biomedical Engineering (BIOMED) 2006
Abbreviated titleBIOMED 2006
Country/TerritoryMalaysia
CityKuala Lumpur
Period11/12/0614/12/06
Internet address

Keywords

  • Discrete wavelet transform
  • Multivariate regression
  • Near infrared spectroscopy
  • Partial least squares

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