Abstract
In this paper, a novel approach for Capillary Electrophoresis data analysis based on pattern recognition techniques in the wavelet domain is presented. Low-resolution, denoised electropherograms are obtained by applying several pre-processing algorithms including discrete wavelet transform, denoising and detection of region of interest. The resultant signal is mapped into character sequences using the first derivative information and multi-level peak height quantization. Next, local alignment algorithms are applied on the coded sequence for peak pattern recognition.
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© 2007 Springer-Verlag Berlin Heidelberg
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Ceballos, G., Paredes, J.L., Hernandez, L.F. (2007). A novel approach for Pattern Recognition in Capillary Electrophoresis Data. In: Müller-Karger, C., Wong, S., La Cruz, A. (eds) IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health. IFMBE Proceedings, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74471-9_35
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DOI: https://doi.org/10.1007/978-3-540-74471-9_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74470-2
Online ISBN: 978-3-540-74471-9
eBook Packages: EngineeringEngineering (R0)