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Application of principal component analysis to the elucidation of perioral soft tissue movements during mastication
Author(s) -
SAKAGUCHI K.,
KAWASAKI T.,
KAWASHIMA T.,
TODA M.,
NAKAGAWA T.,
YAMADA T.,
ARAKI O.
Publication year - 2001
Publication title -
journal of oral rehabilitation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.991
H-Index - 93
eISSN - 1365-2842
pISSN - 0305-182X
DOI - 10.1111/j.1365-2842.2001.tb01701.x
Subject(s) - mastication , masticatory force , principal component analysis , soft tissue , dentition , orthodontics , dentistry , medicine , computer science , artificial intelligence , pathology
SUMMARY We considered that elucidation of the movements of perioral soft tissue during mastication would be useful in evaluating masticatory movements. However, the evaluation of these movements is difficult because multivariable analysis is needed. In this study, we considered whether principal component analysis (PCA), a form of the multivariate analysis, can reduce the number of degrees of freedom (d.f.) of perioral skin movements (i.e. the time‐series data with 45 d.f.). The subjects were 15 healthy persons with complete natural dentition. The chosen experimental food for this study was sufficiently softened chewing gum. Over 95% of the perioral soft tissue movements of healthy subjects with complete natural dentition during mastication could be expressed by PCA using the first three principal components (PCs). Therefore, perioral soft tissue movements in these subjects during mastication were considered to be spatially smooth. Moreover, time analysis of these movements was made possible by the application of proportion diagrams. The results of this study showed that the spatiostructural and temporal analyses of the movements of perioral soft tissue during mastication made possible by the application of PCA.

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