Predicting masticatory jaw movements from chin movements using multivariate linear methods.
Previously, we have used bivariate correlations of maximum and minimum displacement, velocity and acceleration variables to compare masticatory chin and jaw movements (J. Prosthet. Dent. 81 (1999) 179). This previous study represented a first step in exploring the hypothesis that the chin contained useful information regarding jaw kinematics. The current study extends our understanding of the relationship between masticatory chin and jaw movements by: (1) reconstructing and evaluating a more continuous trajectory of chin and jaw movements, and (2) performing multivariate correlations comparing chin and jaw movements at discrete points along the trajectory in order to gain insight into the coupling of chin and jaw movements during a chewing cycle. Results indicated that chin and jaw movement trajectories were visually similar in the lateral, vertical, and anteroposterior axes. The adjusted R(2) results in the lateral, vertical, and anteroposterior dimensions averaged 0.74, 0.78, and 0.89, respectively. Within chewing cycles, the lowest correlations between chin and jaw movements in the lateral and vertical dimensions occurred when the jaw was relatively closed, whereas the lowest correlations between chin and jaw movements in the anteroposterior dimension occurred while the jaw was opening from a closed position. The results indicated that jaw and chin movements were qualitatively similar and that at least 74% of the variation in jaw movements could be accounted for by multivariate linear models of chin movement.
Gerstner
Geoffrey E
GE
Department of Biologic and Materials Sciences, University of Michigan School of Dentistry, Ann Arbor, 48109-1078, USA. geger@umich.edu
Lafia
Carmen
C
Lin
Dennis
D
D000328:Adult; D000465:Algorithms; D005260:Female; D005544:Forecasting; D006801:Humans; D007568:Jaw / Q000502:physiology*; D016014:Linear Models; D008297:Male; D008409:Mastication / Q000502:physiology*; D008875:Middle Aged; D015999:Multivariate Analysis; D014481:United States