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dc.contributor.authorAzian Azamimi, Abdullah
dc.contributor.authorTan, Woei Jing
dc.contributor.authorChua, Ai Sie
dc.contributor.authorNurlisa, Yusuf
dc.contributor.authorMohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.
dc.contributor.authorAli Yeon, Md Shakaff, Prof. Dr.
dc.contributor.authorAbd Hamid, Adom, Prof. Dr.
dc.contributor.authorLatifah Munirah, Kamarudin, Dr.
dc.contributor.authorYeap, Ewe Juan, Dr.
dc.contributor.authorAmmar, Zakaria, Dr.
dc.contributor.authorAmizah, Othman, Dr.
dc.contributor.authorMohd Sadek, Yasin
dc.date.accessioned2014-03-19T04:09:34Z
dc.date.available2014-03-19T04:09:34Z
dc.date.issued2014-01
dc.identifier.citationAdvanced Science Letters, vol.20 (1), 2014, pages 37-41(5)en_US
dc.identifier.issn1936-7317 (Online)
dc.identifier.issn1936-6612 (print)
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/32851
dc.descriptionLink to publisher's homepage at http://www.aspbs.com/science.htmen_US
dc.description.abstractDiabetic foot ulcer (DFU) is an infection, ulcer or destruction of deep tissue associated with neurological abnormalities, musculoskeletal deformities and various degrees of peripheral vascular disease of lower limb. In this study, an electronic nose is proposed to recognize types of bacteria in the diabetic foot ulcer on patients with the aid of data analysis using PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) as the first step for feature extraction. Bacteria classification is also enhanced by pattern analysis using FFBP (Feed Forward Back Propagation) and SOM (Self Organizing Map) of ANN (Artificial Neural Network). Experimental results show that the use of electronic nose in identifying bacteria on diabetic foot ulcers works effectively as the high accuracy obtained for the bacteria classification.en_US
dc.language.isoenen_US
dc.publisherAmerican Scientific Publishersen_US
dc.subjectDiabetic foot ulcer (DFU)en_US
dc.subjectUlceren_US
dc.subjectElectronic noseen_US
dc.titleRapid identification method of aerobic bacteria in diabetic foot ulcers using electronic noseen_US
dc.typeArticleen_US
dc.identifier.urlhttp://www.ingentaconnect.com/search/article?option1=tka&value1=Rapid+identification+method+of+aerobic+bacteria+in+diabetic+foot+ulcers+using+electronic+nose&pageSize=10&index=1
dc.identifier.urlhttp://dx.doi.org/10.1166/asl.2014.5306
dc.contributor.urlazamimi@unimap.edu.myen_US
dc.contributor.urlammarzakaria@unimap.edu.myen_US
dc.contributor.urliqbalomar@unimap.edu.myen_US
dc.contributor.urlaliyeon@unimap.edu.myen_US
dc.contributor.urlabdhamid@unimap.edu.myen_US


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