Task-dependence of Activity/ Bite-force Relations and its Impact on                Estimation of Chewing Force from EMG

Proeschel, Peter; Morneburg, Thomas R

doi:10.1177/154405910208100706

Cited by 72 publications

(49 citation statements)

References 20 publications

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“…This might be the approach taken when modeling force levels in fossil species when information on relative recruitment levels is not available. It might also be preferred if the relationship between EMG amplitudes of individual jaw muscles and bite force during mastication is weak or difficult to characterize (Ahlgren and Ö wall, 1970;Proeschel and Morneburg, 2002). This has been attributed to the fact that during mastication there are changes in shortening velocity and length of the masticatory muscles and under these circumstances muscle force is not well correlated with EMG amplitudes (Ralston, 1961;Ahlgren and Ö wall, 1970;Weijs, 1980).…”

Section: Muscle Force Estimates In Finite Element Analysis (Fea)mentioning

confidence: 99%

Modeling masticatory muscle force in finite element analysis: Sensitivity analysis using principal coordinates analysis

et al. 2005

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Our work on a finite element model of the skull of Macaca aims to investigate the functional significance of specific features of primate skulls and to determine to which of the input variables (elastic properties, muscle forces) the model behavior is most sensitive. Estimates of muscle forces acting on the model are derived from estimates of physiological cross-sectional areas (PCSAs) of the jaw muscles scaled by relative electromyographic (EMG) amplitudes recorded in vivo. In this study, the behavior of the model was measured under different assumptions regarding the PCSAs of the jaw muscles and the latency between EMG activity in those muscles and the resulting force production. Thirty-six different loading regimes were applied to the model using four different PCSA sets and nine different PCSA scaling parameters. The four PCSA sets were derived from three different macaque species and one genus average, and the scaling parameters were either EMGs from 10, 20, 30, 40, 50 and 60 msec prior to peak bite force, or simply 100%, 50%, or 25% of peak muscle force. Principal coordinates analysis was used to compare the deformations of the model produced by the 36 loading regimes. Strain data from selected sites on the model were also compared with in vivo bone strain data. The results revealed that when varying the external muscle forces within these boundaries, the majority of the variation in model behavior is attributable to variation in the overall magnitude rather than the relative amount of muscle force generated by each muscle. Once this magnitude-related variation in model deformation was accounted for, significant variation was attributable to differences in relative muscle recruitment between working and balancing sides. Strain orientations at selected sites showed little variation across loading experiments compared with variation documented in vivo. These data suggest that in order to create an accurate and valid finite element model of the behavior of the primate skull at a particular instant during feeding, it is important to include estimates of the relative recruitment levels of the masticatory muscles. However, a lot can be learned about patterns of skull deformation, in fossil species for example, by applying external forces proportional to the estimated relative PCSAs of the jaw adductors. © 2005 Wiley-Liss, Inc.Key words: electromyography; muscle force; mastication; primates; principal coordinates analysis; finite element analysisOur work on a finite-element model (FEM) of the macaque monkey skull has two principal aims. The first is to build an accurate FEM validated by in vivo bone strain data. Once this task is completed, we will investigate the effects on the model of altering model geometry and external forces, thereby addressing hypotheses regarding the functional significance of changing skull form and function during primate ontogeny and evolution. For example, what is the effect of reducing the size of the browridges, removing the postorbital septum, or repositioning the palate ro...

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Section: Muscle Force Estimates In Finite Element Analysis (Fea)mentioning

confidence: 99%

Modeling masticatory muscle force in finite element analysis: Sensitivity analysis using principal coordinates analysis

et al. 2005

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“…As boundary conditions, displacement of all nodes on the lateral surface and base of the cylinder that represent the bone were constrained. Normal chewing forces were in the range 10-50 N (Bosman, 1995), but much higher force peaks can occur in vivo (Körber & Ludwig, 1983;Pröschel & Morneburg, 2002). Maximum biting forces between 500 and 600 N and, sometimes force peaks up to 1000 N, were reported (Ludwig, 1975;Pröschel & others, 1994;Tate & others, 1994;Kleinfelder & Ludwigt, 2002).…”

Section: Finite Element Modelmentioning

confidence: 99%

Influence of Prefabricated Post Material on Restored Teeth: Fracture Strength and Stress Distribution

Barjau-Escribano

Sancho-Bru

Forner-Navarro

et al. 2006

Operative Dentistry

132

131

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When restoring teeth, a higher restoring success rate can be achieved by using posts with an elastic modulus similar to that of dentin and a core, with equal or higher strength, such as glass fiber posts. Moreover, the failure mode for these post systems will allow for further repair. SUMMARY AimsThis work studied how prefabricated intraradicular post material affects the mechanical performance of restored teeth. The effect of using two different materials (glass fiber and stainless steel) with significantly different elastic moduli was studied. Methods 48Operative Dentistry distributions confirmed a worse mechanical performance on teeth restored using stainless steel posts, with a high stress concentration due to the significant difference between the elastic moduli of the steel and the surrounding materials. ConclusionWithin the limitations of this study, post systems, where the elastic modulus of the post is similar to that of dentin and core, have a better biomechanical performance.

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“…The highest mastication forces are generated at the end of the chewing cycle when sliding motion stops as the teeth reach the centric occlusion that produces localized abrasion wear of contacting dental surfaces [27,28]. In literature, the maximum biting forces were measured by different methods (e.g., electromyography, occlusal transducers) and are in the range of 89-150 N at the incisors (anterior region), 133-334 N at the canines, 220-445 N at the premolars (intermediary region), and 400-600 N at the molars (posterior region) [32][33][34].…”

Section: Mastication Forces and Distribution Of Stresses Through Strumentioning

confidence: 99%

Wear and Corrosion Interactions on Titanium in Oral Environment: Literature Review

et al. 2015

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The oral cavity is a complex environment where corrosive substances from dietary, human saliva, and oral biofilms may accumulate in retentive areas of dental implant systems and prostheses promoting corrosion at their surfaces. Additionally, during mastication, micromovements may occur between prosthetic joints causing a relative motion between contacting surfaces, leading to wear. Both processes (wear and corrosion) result in a biotribocorrosion system once that occurs in contact with biological tissues and fluids. This review paper is focused on the aspects related to the corrosion and wear behavior of titanium-based structures in the oral environment. Furthermore, the clinical relevance of the oral environment is focused on the harmful effect that acidic substances and biofilms, formed in human saliva, may have on titanium surfaces. In fact, a progressive degradation of titanium by wear and corrosion (tribocorrosion) mechanisms can take place affecting the performance of titanium-based implant and prostheses. Also, the formation of wear debris and metallic ions due to the tribocorrosion phenomena can become toxic for human tissues. This review gathers knowledge from areas like materials sciences, microbiology, and dentistry contributing to a better understanding of bio-tribocorrosion processes in the oral environment.

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Task-dependence of Activity/ Bite-force Relations and its Impact on Estimation of Chewing Force from EMG

Cited by 72 publications

References 20 publications

Modeling masticatory muscle force in finite element analysis: Sensitivity analysis using principal coordinates analysis

Modeling masticatory muscle force in finite element analysis: Sensitivity analysis using principal coordinates analysis

Influence of Prefabricated Post Material on Restored Teeth: Fracture Strength and Stress Distribution

Wear and Corrosion Interactions on Titanium in Oral Environment: Literature Review

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