2008 21st IEEE International Symposium on Computer-Based Medical Systems Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy June 17-June 19 ISBN: 978-0-7695-3165-6
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2008.39
Nuclear Magnetic Resonance Spectroscopyis a technique for the analysis of complex biochemical materials. Thereby the identification of known sub-patterns is important. These measurements require an accurate preprocessing and analysis to meet clinical standards. Here we present a method for an appropriate sparse encoding of NMRspectral data combined with a fuzzy classification system allowing the identification of sub-patterns including mixtures thereof. The method is evaluated in contrast to an alternative approach using simulated metabolic spectra.
Index Terms:
data analysis, nuclear mag-data analysis, nuclear magnetic resonance, sparse coding
Citation:
Frank-Michael Schleif, Matthias Ongyerth, Thomas Villmann, "Sparse Coding Neural Gas for Analysis of Nuclear Magnetic Resonance Spectroscopy," cbms, pp.620-625, 2008 21st IEEE International Symposium on Computer-Based Medical Systems, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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