The Distributed Lambda (λ) Model (DLM): A 3-D, Finite-Element Muscle Model Based on Feldman's λ Model; Assessment of Orofacial Gestures

Nazari, Mohammad Ali; Perrier, Michel

doi:10.1044/1092-4388(2013/12-0222)

Cited by 11 publications

(10 citation statements)

References 51 publications

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“…In particular, one can suggest that speech production is accomplished by central modulation of the referent configuration of the vocal tract that represents the origin point of the FR in which a physical vocal tract configuration emerges, and the difference between the physical and the referent vocal tract configuration causes motor commands to muscles responsible for sound production. This notion has been implemented in a 3-D model of production of speech by Perrier's team (Nazari et al 2013) …”

Section: Fig 512mentioning

confidence: 99%

Referent control of action and perception

Feldman

2015

125

115

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Section: Fig 512mentioning

confidence: 99%

Referent control of action and perception

Feldman

2015

125

115

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“…Compression stockings are commercially available in four categories of compression levels in France, defined according to an official norm, and prescribed according to the severity of the pathology to be treated. Three MCS were introduced in this study to study the influence of the three strongest compression levels on deep veins i.e grades II (15-20 mmHg), III (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) and IV (30-40 mmHg).…”

Section: -External Compressionmentioning

confidence: 99%

“…To have more insights on this aspect, muscle activation is modelled using the Finite Element formulation of the Hill muscle model proposed by 5 . This model was implemented using the USERMAT functionality of ANSYS 26 . The muscle activation of a simplified 3D muscle with an intramuscular vein is considered.…”

Section: Refined Approach Used For Modelling Muscle Activationmentioning

confidence: 99%

Prediction of the Biomechanical Effects of Compression Therapy on Deep Veins Using Finite Element Modelling

Rohan

Badel

Lun³

et al. 2014

Ann Biomed Eng

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Clinicians generally assume that Medical Compression Stockings (MCS) work by reducing vein luminal diameter and, in this way, help to prevent blood pooling. Conflicting results have been reported however in the case of lower leg deep veins which call into question this hypothesis. The purpose of this contribution is to study the biomechanical response of the main lower leg deep veins to elastic compression and muscle contraction with the objective of improving our current understanding of the mechanism by which MCS convey their benefits. The development of a finite-element model of a slice of the lower leg from MR images is detailed. Analysis of the finite-element model shows that the contribution of the MCS to the deep vein diameter reduction is rather small, and in fact negligible, compared to that of the contracting muscle (3 and 9% decrease in the vein cross-sectional area with a grade II compression stocking in the supine and standing positions respectively, while complete collapse was obtained at the end of muscle activation). A more accurate representation of the muscle activation is eventually proposed to study the effect of muscle contraction on a vein wall. The impact on the venous blood draining is discussed.

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“…Finite Element Analysis (FEA) is a very popular research tool that has been used in the last two decades to provide insights into the biomechanics of the orofacial system, and, more specifically: (i) for studying non-pathological tongue functions such as speaking [1,2,3] or swallowing [4] and (ii) for improving the clinical treatments of upper airway disorders such as obstructive sleep disorders [5,6] and functional impairments associated with tongue surgery [7,8]. Previous work from the authors have focused on the development of a three-dimensional (3D) finite-element (FE) biomechanical model of the main speech articulators for: (i) speech production modeling [3,9] and (ii) the preoperative prediction of the consequences of carcinologic tongue resection on tongue mobility [8].…”

Section: Introductionmentioning

confidence: 99%

“…However, the developed tongue mesh proved to be limited: first in its capacity of handling complex articulatory patterns such as those observed in retroflex consonants (produced with the tongue tip curled back), involving strong curvature of the tongue's surface; and second in its capacity of accounting for palate/tongue contacts with sufficient spatial accuracy. Thanks to the recent progress in the development and implementation of FE formulation of muscle models, among others by the authors [9], it is now possible to decouple muscle implementation/representation and mesh design. This freedom enables to investigate crucial issues underlying mesh design such as automatic mesh generation, simulation accuracy and computation time.…”

Section: Introductionmentioning

confidence: 99%

Finite element models of the human tongue: a mixed-element mesh approach

Rohan

Lobos

Nazari

et al. 2016

Computer Methods in Biomechanics and Biomedical Engineering: Im

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International audienceOne of the key factors for obtaining accurate and reliable results using the Finite Element Method (FEM) is the dis-cretization of the domain. Traditionally, two main types of elements are used for three-dimensional mesh generation: tetrahedral and hexahedral elements. Tetrahedral meshes are automatically generated but standard displacement-based tetrahedral elements generally suffer from performance issues in terms of convergence rate and accuracy of the solution associated with volumetric and shear locking. Because of these distinct disadvantages, hexahedral meshes have been used up until now for the design of biomechanical models of the orofacial system in particular for medical applications. However, hexahedral meshing is very costly and labor intensive when the mesh must be handmade. The aim of the present contribution is to evaluate the performance of mixed-element meshes as an alternative to all-tetrahedral or all-hexahedral meshing for the analysis of problems involving nearly incompressible materials at large strains. The case study of a semi-confined compression experiment of an elastic cylindrical specimen was analyzed. The theoretical expression of deformation was derived from the literature. We observed that linear mixed-element meshes allowed results very close to those obtained using hexahe-dral ones. As a second experiment, we generated a mixed-element mesh of the tongue and analyze its simulated response to activation of the posterior Genioglossus muscle. Overall, our results show that mixed-element meshes can be used as computationally less demanding alternative to all-hexahedral meshes for the analysis of problems involvin

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The Distributed Lambda (λ) Model (DLM): A 3-D, Finite-Element Muscle Model Based on Feldman's λ Model; Assessment of Orofacial Gestures

Cited by 11 publications

References 51 publications

Referent control of action and perception

Referent control of action and perception

Prediction of the Biomechanical Effects of Compression Therapy on Deep Veins Using Finite Element Modelling

Finite element models of the human tongue: a mixed-element mesh approach

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