Fast Forward-Dynamics Tracking Simulation: Application to Upper Limb and Shoulder Modeling

Sagl, Benedikt; Dickerson, Clark R.; Stavness, Ian

doi:10.1109/tbme.2018.2838020

Cited by 14 publications

(13 citation statements)

References 31 publications

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“…Another problem of interest is the investigation of tooth grinding and its possible connection to increased TMJ loads. We previously presented an optimization approach that enables the use of movement as well as constraint reaction forces for forward-dynamics tracking simulations (Sagl et al, 2019a). The combination of this optimization approach with the presented model allows for a detailed investigation of muscle activation patterns and the joint loads during dynamic tooth grinding tasks.…”

Section: Discussionmentioning

confidence: 99%

A Dynamic Jaw Model With a Finite-Element Temporomandibular Joint

et al. 2019

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The masticatory region is an important human motion system that is essential for basic human tasks like mastication, speech or swallowing. An association between temporomandibular disorders (TMDs) and high temporomandibular joint (TMJ) stress has been suggested, but in vivo joint force measurements are not feasible to directly test this assumption. Consequently, biomechanical computer simulation remains as one of a few means to investigate this complex system. To thoroughly examine orofacial biomechanics, we developed a novel, dynamic computer model of the masticatory system. The model combines a muscle driven rigid body model of the jaw region with a detailed finite element model (FEM) disk and elastic foundation (EF) articular cartilage. The model is validated using high-resolution MRI data for protrusion and opening that were collected from the same volunteer. Joint stresses for a clenching task as well as protrusive and opening movements are computed. Simulations resulted in mandibular positions as well as disk positions and shapes that agree well with the MRI data. The model computes reasonable disk stress patterns for dynamic tasks. Moreover, to the best of our knowledge this model presents the first ever contact model using a combination of EF layers and a FEM body, which results in a clear decrease in computation time. In conclusion, the presented model is a valuable tool for the investigation of the human TMJ and can potentially help in the future to increase the understanding of the masticatory system and the relationship between TMD and joint stress and to highlight potential therapeutic approaches for the restoration of orofacial function.

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Section: Discussionmentioning

confidence: 99%

A Dynamic Jaw Model With a Finite-Element Temporomandibular Joint

et al. 2019

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“…Since it is prohibitively challenging to collect reliable muscle activation patterns during a bruxing task, we aimed to solve this problem by using a forward-dynamics tracking approach that incorporates reaction force tracking. A detailed explanation and theoretical description of the optimization method can be found in [30] …”

Section: Methodsmentioning

confidence: 99%

Effect of facet inclination and location on TMJ loading during bruxism: An in-silico study

Sagl

Schmid-Schwap

Piehslinger

et al. 2022

Journal of Advanced Research

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“…Our spine model in ArtiSynth used forward dynamics assisted data tracking and optimization to solve the muscle redundancy problem ( Malakoutian et al, 2016b ; Sagl et al, 2019 ; Erdemir et al, 2007 ). The optimization predicts muscle activations to achieve an input trajectory for one or more target points ( Figure 2A ).…”

Section: Methodsmentioning

confidence: 99%

Biomechanical Properties of Paraspinal Muscles Influence Spinal Loading—A Musculoskeletal Simulation Study

Malakoutian

Sánchez

Brown

et al. 2022

Front. Bioeng. Biotechnol.

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Paraspinal muscles are vital to the functioning of the spine. Changes in muscle physiological cross-sectional area significantly affect spinal loading, but the importance of other muscle biomechanical properties remains unclear. This study explored the changes in spinal loading due to variation in five muscle biomechanical properties: passive stiffness, slack sarcomere length (SSL), in situ sarcomere length, specific tension, and pennation angle. An enhanced version of a musculoskeletal simulation model of the thoracolumbar spine with 210 muscle fascicles was used for this study and its predictions were validated for several tasks and multiple postures. Ranges of physiologically realistic values were selected for all five muscle parameters and their influence on L4-L5 intradiscal pressure (IDP) was investigated in standing and 36° flexion. We observed large changes in IDP due to changes in passive stiffness, SSL, in situ sarcomere length, and specific tension, often with interesting interplays between the parameters. For example, for upright standing, a change in stiffness value from one tenth to 10 times the baseline value increased the IDP only by 91% for the baseline model but by 945% when SSL was 0.4 μm shorter. Shorter SSL values and higher stiffnesses led to the largest increases in IDP. More changes were evident in flexion, as sarcomere lengths were longer in that posture and thus the passive curve is more influential. Our results highlight the importance of the muscle force-length curve and the parameters associated with it and motivate further experimental studies on in vivo measurement of those properties.

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Fast Forward-Dynamics Tracking Simulation: Application to Upper Limb and Shoulder Modeling

Abstract: Our formulation is not only valuable for shoulder simulations, but could be used in various clinical situations (e.g. for different joints and rehabilitation therapy tasks) where the direction and/or magnitude of reaction forces are of interest.

Cited by 14 publications

References 31 publications

A Dynamic Jaw Model With a Finite-Element Temporomandibular Joint

A Dynamic Jaw Model With a Finite-Element Temporomandibular Joint

Effect of facet inclination and location on TMJ loading during bruxism: An in-silico study

Biomechanical Properties of Paraspinal Muscles Influence Spinal Loading—A Musculoskeletal Simulation Study

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