Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6586
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dc.contributorSchool of Nursing-
dc.creatorLam, SCH-
dc.creatorChung, J-
dc.creatorFan, KL-
dc.creatorWong, TKS-
dc.date.accessioned2014-12-11T08:24:13Z-
dc.date.available2014-12-11T08:24:13Z-
dc.identifier.issn0712-4813 (print)-
dc.identifier.issn1875-922X (online)-
dc.identifier.urihttp://hdl.handle.net/10397/6586-
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.rightsCopyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.subjectSpectroscopyen_US
dc.subjectMachine driften_US
dc.subjectTime driften_US
dc.subjectPhysiological effecten_US
dc.subjectPLSen_US
dc.subjectPDSen_US
dc.subjectBeer's lawen_US
dc.titleNon-invasive blood glucose measurement by near infrared spectroscopy : machine drift, time drift and physiological effecten_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: Simon C. H. Lamen_US
dc.description.otherinformationAuthor name used in this publication: K. L. Fanen_US
dc.identifier.spage629-
dc.identifier.epage639-
dc.identifier.volume24-
dc.identifier.issue6-
dc.identifier.doi10.3233/SPE-2010-0485-
dcterms.abstractThe aim of this paper is to evaluate development of the non-invasive blood glucose measurement of near infrared (NIR) spectroscopy. The results showed that NIR spectroscopy might obtain glucose concentration of up to 200% difference under a same environmental condition with two months apart due to time and machine drifts. These effects can restrict the development of the non-invasive blood glucose measurement. Partial least square (PLS) regression was used, which showed advantage over using simple absorbance for glucose concentration. Non-invasive blood glucose measurement of health subjects (non-diabetics) was also investigated. The results showed that R correlation coefficient of prediction (Rp) was 0.48 and root mean square of prediction (rmsep) was 1.34 mmol/l. The error was mainly due to the physiological effect of different subjects.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSpectroscopy, 2010, v. 24, no. 6, p. 629-639-
dcterms.isPartOfSpectroscopy-
dcterms.issued2010-
dc.identifier.isiWOS:000284360900007-
dc.identifier.scopus2-s2.0-78650461312-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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