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Validation of a musculoskeletal model for simulating muscle mechanics and energetics during diverse human hopping tasks

Computational musculoskeletal modelling has emerged as an alternative, less-constrained technique to indirect calorimetry for estimating energy expenditure. However, predictions from modelling tools depend on many assumptions around muscle architecture and function and motor control. Therefore, thes...

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Detalles Bibliográficos
Autores principales: Jessup, Luke N., Kelly, Luke A., Cresswell, Andrew G., Lichtwark, Glen A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598413/
https://www.ncbi.nlm.nih.gov/pubmed/37885982
http://dx.doi.org/10.1098/rsos.230393
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author Jessup, Luke N.
Kelly, Luke A.
Cresswell, Andrew G.
Lichtwark, Glen A.
author_facet Jessup, Luke N.
Kelly, Luke A.
Cresswell, Andrew G.
Lichtwark, Glen A.
author_sort Jessup, Luke N.
collection PubMed
description Computational musculoskeletal modelling has emerged as an alternative, less-constrained technique to indirect calorimetry for estimating energy expenditure. However, predictions from modelling tools depend on many assumptions around muscle architecture and function and motor control. Therefore, these tools need to continue to be validated if we are to eventually develop subject-specific simulations that can accurately and reliably model rates of energy consumption for any given task. In this study, we used OpenSim software and experimental motion capture data to simulate muscle activations, muscle fascicle dynamics and whole-body metabolic power across mechanically and energetically disparate hopping tasks, and then evaluated these outputs at a group- and individual-level against experimental electromyography, ultrasound and indirect calorimetry data. Comparing simulated and experimental outcomes, we found weak to strong correlations for peak muscle activations, moderate to strong correlations for absolute fascicle shortening and mean shortening velocity, and strong correlations for gross metabolic power. These correlations tended to be stronger on a group-level rather than individual-level. We encourage the community to use our publicly available dataset from SimTK.org to experiment with different musculoskeletal models, muscle models, metabolic cost models, optimal control policies, modelling tools and algorithms, data filtering etc. with subject-specific simulations being a focal goal.
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spelling pubmed-105984132023-10-26 Validation of a musculoskeletal model for simulating muscle mechanics and energetics during diverse human hopping tasks Jessup, Luke N. Kelly, Luke A. Cresswell, Andrew G. Lichtwark, Glen A. R Soc Open Sci Physics and Biophysics Computational musculoskeletal modelling has emerged as an alternative, less-constrained technique to indirect calorimetry for estimating energy expenditure. However, predictions from modelling tools depend on many assumptions around muscle architecture and function and motor control. Therefore, these tools need to continue to be validated if we are to eventually develop subject-specific simulations that can accurately and reliably model rates of energy consumption for any given task. In this study, we used OpenSim software and experimental motion capture data to simulate muscle activations, muscle fascicle dynamics and whole-body metabolic power across mechanically and energetically disparate hopping tasks, and then evaluated these outputs at a group- and individual-level against experimental electromyography, ultrasound and indirect calorimetry data. Comparing simulated and experimental outcomes, we found weak to strong correlations for peak muscle activations, moderate to strong correlations for absolute fascicle shortening and mean shortening velocity, and strong correlations for gross metabolic power. These correlations tended to be stronger on a group-level rather than individual-level. We encourage the community to use our publicly available dataset from SimTK.org to experiment with different musculoskeletal models, muscle models, metabolic cost models, optimal control policies, modelling tools and algorithms, data filtering etc. with subject-specific simulations being a focal goal. The Royal Society 2023-10-25 /pmc/articles/PMC10598413/ /pubmed/37885982 http://dx.doi.org/10.1098/rsos.230393 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 Physics and Biophysics
Jessup, Luke N.
Kelly, Luke A.
Cresswell, Andrew G.
Lichtwark, Glen A.
Validation of a musculoskeletal model for simulating muscle mechanics and energetics during diverse human hopping tasks
title Validation of a musculoskeletal model for simulating muscle mechanics and energetics during diverse human hopping tasks
title_full Validation of a musculoskeletal model for simulating muscle mechanics and energetics during diverse human hopping tasks
title_fullStr Validation of a musculoskeletal model for simulating muscle mechanics and energetics during diverse human hopping tasks
title_full_unstemmed Validation of a musculoskeletal model for simulating muscle mechanics and energetics during diverse human hopping tasks
title_short Validation of a musculoskeletal model for simulating muscle mechanics and energetics during diverse human hopping tasks
title_sort validation of a musculoskeletal model for simulating muscle mechanics and energetics during diverse human hopping tasks
topic Physics and Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598413/
https://www.ncbi.nlm.nih.gov/pubmed/37885982
http://dx.doi.org/10.1098/rsos.230393
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