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 language | English |
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Title of host publication | 3rd Kuala Lumpur International Conference on Biomedical Engineering 2006 |
Editors | Fatimah Ibrahim, Noor Azuan Abu Osman, Juliana Usman, Nahrizul Adib Kadri |
Publisher | Springer |
Pages | 415-418 |
Number of pages | 4 |
ISBN (Electronic) | 9783540680161 |
DOIs | |
Publication status | Published - 2007 |
Externally published | Yes |
Event | Kuala Lumpur International Conference on Biomedical Engineering (BIOMED) 2006 - Palace of the Golden Horses, Kuala Lumpur, Malaysia Duration: 11 Dec 2006 → 14 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
Name | IFMBE Proceedings |
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Volume | 15 |
ISSN (Print) | 1680-0737 |
ISSN (Electronic) | 1433-9277 |
Conference
Conference | Kuala Lumpur International Conference on Biomedical Engineering (BIOMED) 2006 |
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Abbreviated title | BIOMED 2006 |
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 11/12/06 → 14/12/06 |
Internet address |
Keywords
- Discrete wavelet transform
- Multivariate regression
- Near infrared spectroscopy
- Partial least squares