Muscle interaction in the context of muscle deformation modelling by a Position Based Dynamics method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43973781" target="_blank" >RIV/49777513:23520/24:43973781 - isvavai.cz</a>
Result on the web
<a href="https://svk.fav.zcu.cz/download/proceedings_svk_2024.pdf" target="_blank" >https://svk.fav.zcu.cz/download/proceedings_svk_2024.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Muscle interaction in the context of muscle deformation modelling by a Position Based Dynamics method
Original language description
The musculoskeletal system presented by Kohout and Cervenka (2021) exhibits unnatural bending of the iliacus muscle, being passively dragged in a rag-doll manner during hip flexion. This study aimed to extend the current PBD-based simulator to support muscular interactions, where the muscles synergistically contract and relax while avoiding collisions. Avoiding the penetration of elastic muscles is a form of passive intermuscular interaction. We proposed a stochastic-based, structure-less, fast and effective algorithm of Virtual Edges that solves this unfeasible problem. Virtual Edges between the muscles take advantage of a priori anatomical and physiological reality of the muscles, as they should only come into contact in predictable areas. The muscles produce contraction or relaxation based on that activation via shortening distance constraints, representing surface approximations of their inner muscle fibres. The muscle activation estimates are sampled using the OpenSim 4.5 Static Optimization Tool under various bone orientations. During the simulation, muscle activations for the current bone orientations are interpolated from the samples and projected onto the muscles. The results were rigorously verified for visual plausibility, adherence to the physiology of muscle interaction, correspondence to the results of a similar method, and preserving muscle shapes and volumes.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů