Development of a novel statistical model for mandibular kinematics

Kazuo Hayashi, Itaru Mizoguchi, Seung Pyo Lee, Brian Reich

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The purpose of this study was to establish a new statistical method for 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.

Original languageEnglish
Pages (from-to)423-428
Number of pages6
JournalMedical Engineering and Physics
Volume32
Issue number5
DOIs
Publication statusPublished - 2010 Jun 1
Externally publishedYes

Keywords

  • Mandibular movement
  • Self-modeling regression
  • Spline function

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering

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