title: [Extraction and classification of features of experimental gingivitis. Discriminant analysis of TS 200 data sequences].
abstract: This paper represent one of the important index of gingival color to various conditions. Generally the gingival color is very difficult problem to measure, so experimental gingivitis has to be treated by special technique such as Discriminant Analysis in spectrum pattern analysing. On measuring gingiva, Standard Measuring System is used in our department. Tissue Spectrum Analyzer TS-200 is used for measuring gingival color and spectrum pattern. Spectrum patterns are classified by its strength into three categories, that is Normal, Slightly-Redness and Redness. Discriminant Analysis and Graph Analysis (Constellation Graph) showed each group of property. The following results were obtained; Spectrum patterns have two peaks, that is 542 nm and 577 nm. With gingivitis change on three steps, that is Normal, Slightly-Redness and Redness, spectrum powers and difference of absorption in spectrum degrees and brightness is down. With gingivitis change, the Z1 value was obtained by Discriminant Analysis and showed a tendency to sign change from minus to plus. In the result of Discriminant Analysis distinction rate is 97.4% in N Group, 98.5% in SR Group and 100% in R Group. Constellation Graph represented each group of property clearly.
authors.forename: A
authors.initials: A
authors.lastname: Fujimoto
mesh_terms: D003116:Color; D003936:Diagnosis, Computer-Assisted; D016002:Discriminant Analysis; D005891:Gingivitis / Q000175:diagnosis* / Q000473:pathology; D006801:Humans; D013057:Spectrum Analysis / Q000295:instrumentation