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Numerical instability of Hill-type muscle models

Hill-type muscle models are highly preferred as phenomenological models for musculoskeletal simulation studies despite their introduction almost a century ago. The use of simple Hill-type models in simulations, instead of more recent cross-bridge models, is well justified since computationally ‘ligh...

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Detalles Bibliográficos
Autores principales: Yeo, Sang-Hoon, Verheul, Jasper, Herzog, Walter, Sueda, Shinjiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890125/
https://www.ncbi.nlm.nih.gov/pubmed/36722069
http://dx.doi.org/10.1098/rsif.2022.0430
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author Yeo, Sang-Hoon
Verheul, Jasper
Herzog, Walter
Sueda, Shinjiro
author_facet Yeo, Sang-Hoon
Verheul, Jasper
Herzog, Walter
Sueda, Shinjiro
author_sort Yeo, Sang-Hoon
collection PubMed
description Hill-type muscle models are highly preferred as phenomenological models for musculoskeletal simulation studies despite their introduction almost a century ago. The use of simple Hill-type models in simulations, instead of more recent cross-bridge models, is well justified since computationally ‘light-weight’—although less accurate—Hill-type models have great value for large-scale simulations. However, this article aims to invite discussion on numerical instability issues of Hill-type muscle models in simulation studies, which can lead to computational failures and, therefore, cannot be simply dismissed as an inevitable but acceptable consequence of simplification. We will first revisit the basic premises and assumptions on the force–length and force–velocity relationships that Hill-type models are based upon, and their often overlooked but major theoretical limitations. We will then use several simple conceptual simulation studies to discuss how these numerical instability issues can manifest as practical computational problems. Lastly, we will review how such numerical instability issues are dealt with, mostly in an ad hoc fashion, in two main areas of application: musculoskeletal biomechanics and computer animation.
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spelling pubmed-98901252023-02-03 Numerical instability of Hill-type muscle models Yeo, Sang-Hoon Verheul, Jasper Herzog, Walter Sueda, Shinjiro J R Soc Interface Review Articles Hill-type muscle models are highly preferred as phenomenological models for musculoskeletal simulation studies despite their introduction almost a century ago. The use of simple Hill-type models in simulations, instead of more recent cross-bridge models, is well justified since computationally ‘light-weight’—although less accurate—Hill-type models have great value for large-scale simulations. However, this article aims to invite discussion on numerical instability issues of Hill-type muscle models in simulation studies, which can lead to computational failures and, therefore, cannot be simply dismissed as an inevitable but acceptable consequence of simplification. We will first revisit the basic premises and assumptions on the force–length and force–velocity relationships that Hill-type models are based upon, and their often overlooked but major theoretical limitations. We will then use several simple conceptual simulation studies to discuss how these numerical instability issues can manifest as practical computational problems. Lastly, we will review how such numerical instability issues are dealt with, mostly in an ad hoc fashion, in two main areas of application: musculoskeletal biomechanics and computer animation. The Royal Society 2023-02-01 /pmc/articles/PMC9890125/ /pubmed/36722069 http://dx.doi.org/10.1098/rsif.2022.0430 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Review Articles
Yeo, Sang-Hoon
Verheul, Jasper
Herzog, Walter
Sueda, Shinjiro
Numerical instability of Hill-type muscle models
title Numerical instability of Hill-type muscle models
title_full Numerical instability of Hill-type muscle models
title_fullStr Numerical instability of Hill-type muscle models
title_full_unstemmed Numerical instability of Hill-type muscle models
title_short Numerical instability of Hill-type muscle models
title_sort numerical instability of hill-type muscle models
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890125/
https://www.ncbi.nlm.nih.gov/pubmed/36722069
http://dx.doi.org/10.1098/rsif.2022.0430
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