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Development of a novel statistical model for mandibular kinematics

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dc.contributor.authorKazuo, Hayashi-
dc.contributor.authorItaru, Mizoguchi-
dc.contributor.authorLee, Seung-Pyo-
dc.contributor.authorReich, Brian-
dc.date.accessioned2011-10-13T05:27:22Z-
dc.date.available2011-10-13T05:27:22Z-
dc.date.issued2010-06-
dc.identifier.citationMedical Engineering and Physics 2010;32:423-8en
dc.identifier.issn1350-4533-
dc.identifier.urihttps://hdl.handle.net/10371/74099-
dc.description.abstractThe purpose of this studywasto establish anewstatisticalmethodfor the analysis of masticatory function.
The subjects were patients with anterior crossbite who had received orthognathic surgery. Chewing
movement was measured by means of an opto-electronic motion-analysis system. This movement was
compared with similar movement in control patients. We sought to develop a statistical model to predict
the population average curves of the chewing cycles. In this study, the mandibular incisor point was used
as a target point of jaw movement. The combination of a spline function with random coefficients and
self-modeling regression (SEMOR) extended to three dimensions was used to predict population average
curves for each group. Unquestionably, significant differences were present in some areas. The present
modeling method that uses the combination of a spline function and SEMOR is one of the best ways to
eliminate subjective estimation with regard to predicting representative chewing cycles.
en
dc.description.sponsorshipThis study was supported by a Grant-in-Aid for Young Scientists (B) from the Japan Society for the Promotion of Science (No.
217923094).
en
dc.language.isoen-
dc.publisherElsevieren
dc.subjectMandibular movementen
dc.subjectSpline functionen
dc.subjectSelf-modeling regressionen
dc.titleDevelopment of a novel statistical model for mandibular kinematicsen
dc.typeArticleen
dc.contributor.AlternativeAuthor이승표-
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