Literature DB >> 11506788

A method to predict muscle control in the kinematically and mechanically indeterminate human masticatory system.

J H Koolstra1, T M van Eijden.   

Abstract

A method is proposed to generate muscle activation patterns for goal-directed movements of the human masticatory system. This system is special because apart from a larger amount of muscles than degrees of freedom its joints do not restrict its movements a priori. Therefore, each muscle is able to influence all six degrees of freedom which makes the system kinematically and mechanically indeterminate. Furthermore, its working space is principally determined by the dynamical properties of its muscles and not by passive constraints. The presented method determines the contribution of each degree of freedom to a movement of a reference point on the mandible. It avails of straightforward mathematical techniques like Linear Programming. It does not require a separate trajectory planning step. It was applied in a six degrees of freedom dynamical mathematical model of the human masticatory system. This model which was based upon rigid-body dynamics incorporating skull morphology and muscle architecture including dynamical properties. Movements were exclusively defined by a goal position of the mandibular reference point. The method proved to be robust in generating muscle activation patterns for both feasible and infeasible movement tasks. Generally, they were accomplished faster than habitually observed. If the task was infeasible the movement stopped at the outer boundary of the working space at the side of the unreachable goal. The method, therefore, enables to explore the working space of the mandible and the factors that are relevant for its boundaries.

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Year:  2001        PMID: 11506788     DOI: 10.1016/s0021-9290(01)00053-7

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  6 in total

1.  Masticatory loadings and cranial deformation in Macaca fascicularis: a finite element analysis sensitivity study.

Authors:  L C Fitton; J F Shi; M J Fagan; P O'Higgins
Journal:  J Anat       Date:  2012-07       Impact factor: 2.610

Review 2.  Craniofacial biomechanics: an overview of recent multibody modelling studies.

Authors:  Neil Curtis
Journal:  J Anat       Date:  2010-11-10       Impact factor: 2.610

3.  Locking versus nonlocking plates in mandibular reconstruction with fibular graft--a biomechanical ex vivo study.

Authors:  Susanne Trainotti; Stefan Raith; Marco Kesting; Stefan Eichhorn; Florian Bauer; Andreas Kolk; Bernd Lethaus; Frank Hölzle; Timm Steiner
Journal:  Clin Oral Investig       Date:  2013-09-22       Impact factor: 3.573

4.  Modeling the biomechanics of swine mastication--an inverse dynamics approach.

Authors:  Ehsan Basafa; Ryan J Murphy; Chad R Gordon; Mehran Armand
Journal:  J Biomech       Date:  2014-06-06       Impact factor: 2.712

Review 5.  Finite element analysis of dental implants with validation: to what extent can we expect the model to predict biological phenomena? A literature review and proposal for classification of a validation process.

Authors:  Yuanhan Chang; Abhijit Anil Tambe; Yoshinobu Maeda; Masahiro Wada; Tomoya Gonda
Journal:  Int J Implant Dent       Date:  2018-03-08

Review 6.  Patient-specific finite element models of the human mandible: Lack of consensus on current set-ups.

Authors:  Bram Barteld Jan Merema; Joep Kraeima; Haye H Glas; Fred K L Spijkervet; Max J H Witjes
Journal:  Oral Dis       Date:  2020-07-09       Impact factor: 3.511

  6 in total

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