Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2017, Article ID 7134389, 9 pages
Research Article

Systematic Standardized and Individualized Assessment of Masticatory Cycles Using Electromagnetic 3D Articulography and Computer Scripts

1Department of Integral Dentistry, Research Centre in Dental Sciences (CICO), Dental School, Universidad de La Frontera, Temuco, Chile
2Universidad Adventista de Chile, Chillán, Chile
3Facultad de Ingenieria, Universidad Nacional de Entre Ríos, Entre Ríos, Argentina
4Department of Restorative Dentistry, School of Dentistry, Universidad Finis Terrae, Santiago, Chile

Correspondence should be addressed to Ramón Fuentes; lc.aretnorfu@setneuf.nomar

Received 22 May 2017; Revised 12 July 2017; Accepted 10 August 2017; Published 18 September 2017

Academic Editor: Imelda de Groot

Copyright © 2017 Ramón Fuentes et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Masticatory movements are studied for decades in odontology; a better understanding of them could improve dental treatments. The aim of this study was to describe an innovative, accurate, and systematic method of analyzing masticatory cycles, generating comparable quantitative data. The masticatory cycles of 5 volunteers (Class I, 19 ± 1.7 years) without articular or dental occlusion problems were evaluated using 3D electromagnetic articulography supported by MATLAB software. The method allows the trajectory morphology of the set of chewing cycles to be analyzed from different views and angles. It was also possible to individualize the trajectory of each cycle providing accurate quantitative data, such as number of cycles, cycle areas in frontal view, and the ratio between each cycle area and the frontal mandibular border movement area. There was a moderate negative correlation (−0.61) between the area and the number of cycles: the greater the cycle area, the smaller the number of repetitions. Finally it was possible to evaluate the area of the cycles through time, which did not reveal a standardized behavior. The proposed method provided reproducible, intelligible, and accurate quantitative and graphical data, suggesting that it is promising and may be applied in different clinical situations and treatments.