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Finite element human body models with active reflexive muscles suitable for sex based whiplash injury prediction
Previous research has not produced a satisfactory resource to study reflexive muscle activity for investigating potentially injurious whiplash motions. Various experimental and computational studies are available, but none provided a comprehensive biomechanical representation of human response durin...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557094/ https://www.ncbi.nlm.nih.gov/pubmed/36246354 http://dx.doi.org/10.3389/fbioe.2022.968939 |
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author | Putra, I Putu Alit Iraeus, Johan Sato, Fusako Svensson, Mats Y. Thomson, Robert |
author_facet | Putra, I Putu Alit Iraeus, Johan Sato, Fusako Svensson, Mats Y. Thomson, Robert |
author_sort | Putra, I Putu Alit |
collection | PubMed |
description | Previous research has not produced a satisfactory resource to study reflexive muscle activity for investigating potentially injurious whiplash motions. Various experimental and computational studies are available, but none provided a comprehensive biomechanical representation of human response during rear impacts. Three objectives were addressed in the current study to develop female and male finite element human body models with active reflexive neck muscles: 1) eliminate the buckling in the lower cervical spine of the model observed in earlier active muscle controller implementations, 2) evaluate and quantify the influence of the individual features of muscle activity, and 3) evaluate and select the best model configuration that can be used for whiplash injury predictions. The current study used an open-source finite element model of the human body for injury assessment representing an average 50th percentile female anthropometry, together with the derivative 50th percentile male morphed model. Based on the head-neck kinematics and CORelation and Analyis (CORA) tool for evaluation, models with active muscle controller and parallel damping elements showed improved head-neck kinematics agreement with the volunteers over the passive models. It was concluded that this model configuration would be the most suitable for gender-based whiplash injury prediction when different impact severities are to be studied. |
format | Online Article Text |
id | pubmed-9557094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95570942022-10-14 Finite element human body models with active reflexive muscles suitable for sex based whiplash injury prediction Putra, I Putu Alit Iraeus, Johan Sato, Fusako Svensson, Mats Y. Thomson, Robert Front Bioeng Biotechnol Bioengineering and Biotechnology Previous research has not produced a satisfactory resource to study reflexive muscle activity for investigating potentially injurious whiplash motions. Various experimental and computational studies are available, but none provided a comprehensive biomechanical representation of human response during rear impacts. Three objectives were addressed in the current study to develop female and male finite element human body models with active reflexive neck muscles: 1) eliminate the buckling in the lower cervical spine of the model observed in earlier active muscle controller implementations, 2) evaluate and quantify the influence of the individual features of muscle activity, and 3) evaluate and select the best model configuration that can be used for whiplash injury predictions. The current study used an open-source finite element model of the human body for injury assessment representing an average 50th percentile female anthropometry, together with the derivative 50th percentile male morphed model. Based on the head-neck kinematics and CORelation and Analyis (CORA) tool for evaluation, models with active muscle controller and parallel damping elements showed improved head-neck kinematics agreement with the volunteers over the passive models. It was concluded that this model configuration would be the most suitable for gender-based whiplash injury prediction when different impact severities are to be studied. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9557094/ /pubmed/36246354 http://dx.doi.org/10.3389/fbioe.2022.968939 Text en Copyright © 2022 Putra, Iraeus, Sato, Svensson and Thomson. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioengineering and Biotechnology Putra, I Putu Alit Iraeus, Johan Sato, Fusako Svensson, Mats Y. Thomson, Robert Finite element human body models with active reflexive muscles suitable for sex based whiplash injury prediction |
title | Finite element human body models with active reflexive muscles suitable for sex based whiplash injury prediction |
title_full | Finite element human body models with active reflexive muscles suitable for sex based whiplash injury prediction |
title_fullStr | Finite element human body models with active reflexive muscles suitable for sex based whiplash injury prediction |
title_full_unstemmed | Finite element human body models with active reflexive muscles suitable for sex based whiplash injury prediction |
title_short | Finite element human body models with active reflexive muscles suitable for sex based whiplash injury prediction |
title_sort | finite element human body models with active reflexive muscles suitable for sex based whiplash injury prediction |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557094/ https://www.ncbi.nlm.nih.gov/pubmed/36246354 http://dx.doi.org/10.3389/fbioe.2022.968939 |
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