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Conference Paper: A demonstration of Uncorrelated Component Analysis for estimating nitric oxide ESR spectra

TitleA demonstration of Uncorrelated Component Analysis for estimating nitric oxide ESR spectra
Authors
Issue Date2005
PublisherInternational Society for Magnetic Resonance in Medicine
Citation
International Society for Magnetic Resonance in Medicine 13th Scientific Meeting & Exhibition, Miami, FL, 7-13 May 2005, p. 2552 How to Cite?
AbstractESR spectroscopy often suffers the problem of spectral overlapping which made the identification and quantification of the spectra of interest very difficult, and this is the case for nitric oxide (NO) detection in animal model. Uncorrelated Component Analysis (UCA) method is demonstrated in this work to estimate two kinds of real-world NO-adduct spectra from their detected spectral mixtures. Results show that relatively “pure” NO-adduct spectra were extracted by UCA. Compared to traditional signal subtraction method with one component must being known, this method requires no previous knowledge of any components, thus is much easier to perform.
Persistent Identifierhttp://hdl.handle.net/10722/99154

 

DC FieldValueLanguage
dc.contributor.authorRen, Jen_HK
dc.contributor.authorChang, Cen_HK
dc.contributor.authorFung, PCWen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2010-09-25T18:18:02Z-
dc.date.available2010-09-25T18:18:02Z-
dc.date.issued2005en_HK
dc.identifier.citationInternational Society for Magnetic Resonance in Medicine 13th Scientific Meeting & Exhibition, Miami, FL, 7-13 May 2005, p. 2552-
dc.identifier.urihttp://hdl.handle.net/10722/99154-
dc.description.abstractESR spectroscopy often suffers the problem of spectral overlapping which made the identification and quantification of the spectra of interest very difficult, and this is the case for nitric oxide (NO) detection in animal model. Uncorrelated Component Analysis (UCA) method is demonstrated in this work to estimate two kinds of real-world NO-adduct spectra from their detected spectral mixtures. Results show that relatively “pure” NO-adduct spectra were extracted by UCA. Compared to traditional signal subtraction method with one component must being known, this method requires no previous knowledge of any components, thus is much easier to perform.-
dc.languageengen_HK
dc.publisherInternational Society for Magnetic Resonance in Medicine-
dc.relation.ispartofInternational Society for Magnetic Resonance in Medicine Scientific Meeting & Exhibitionen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleA demonstration of Uncorrelated Component Analysis for estimating nitric oxide ESR spectraen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChang, C: cqchang@eee.hku.hken_HK
dc.identifier.emailChan, FHY: fhychan@hkueee.hku.hken_HK
dc.identifier.emailFung, PCW: hrspfcw@hku.hken_HK
dc.identifier.authorityChang, C=rp00095en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros101899en_HK

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