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Dynamic Spatial Tuning Patterns of Shoulder Muscles with Volunteers in a Driving Posture
Computational human body models (HBMs) of drivers for pre-crash simulations need active shoulder muscle control, and volunteer data are lacking. The goal of this paper was to build shoulder muscle dynamic spatial tuning patterns, with a secondary focus to present shoulder kinematic evaluation data....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652075/ https://www.ncbi.nlm.nih.gov/pubmed/34900960 http://dx.doi.org/10.3389/fbioe.2021.761799 |
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author | Fice, Jason B. Larsson, Emma Davidsson, Johan |
author_facet | Fice, Jason B. Larsson, Emma Davidsson, Johan |
author_sort | Fice, Jason B. |
collection | PubMed |
description | Computational human body models (HBMs) of drivers for pre-crash simulations need active shoulder muscle control, and volunteer data are lacking. The goal of this paper was to build shoulder muscle dynamic spatial tuning patterns, with a secondary focus to present shoulder kinematic evaluation data. 8M and 9F volunteers sat in a driver posture, with their torso restrained, and were exposed to upper arm dynamic perturbations in eight directions perpendicular to the humerus. A dropping 8-kg weight connected to the elbow through pulleys applied the loads; the exact timing and direction were unknown. Activity in 11 shoulder muscles was measured using surface electrodes, and upper arm kinematics were measured with three cameras. We found directionally specific muscle activity and presented dynamic spatial tuning patterns for each muscle separated by sex. The preferred directions, i.e. the vector mean of a spatial tuning pattern, were similar between males and females, with the largest difference of 31° in the pectoralis major muscle. Males and females had similar elbow displacements. The maxima of elbow displacements in the loading plane for males was 189 ± 36 mm during flexion loading, and for females, it was 196 ± 36 mm during adduction loading. The data presented here can be used to design shoulder muscle controllers for HBMs and evaluate the performance of shoulder models. |
format | Online Article Text |
id | pubmed-8652075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86520752021-12-09 Dynamic Spatial Tuning Patterns of Shoulder Muscles with Volunteers in a Driving Posture Fice, Jason B. Larsson, Emma Davidsson, Johan Front Bioeng Biotechnol Bioengineering and Biotechnology Computational human body models (HBMs) of drivers for pre-crash simulations need active shoulder muscle control, and volunteer data are lacking. The goal of this paper was to build shoulder muscle dynamic spatial tuning patterns, with a secondary focus to present shoulder kinematic evaluation data. 8M and 9F volunteers sat in a driver posture, with their torso restrained, and were exposed to upper arm dynamic perturbations in eight directions perpendicular to the humerus. A dropping 8-kg weight connected to the elbow through pulleys applied the loads; the exact timing and direction were unknown. Activity in 11 shoulder muscles was measured using surface electrodes, and upper arm kinematics were measured with three cameras. We found directionally specific muscle activity and presented dynamic spatial tuning patterns for each muscle separated by sex. The preferred directions, i.e. the vector mean of a spatial tuning pattern, were similar between males and females, with the largest difference of 31° in the pectoralis major muscle. Males and females had similar elbow displacements. The maxima of elbow displacements in the loading plane for males was 189 ± 36 mm during flexion loading, and for females, it was 196 ± 36 mm during adduction loading. The data presented here can be used to design shoulder muscle controllers for HBMs and evaluate the performance of shoulder models. Frontiers Media S.A. 2021-11-24 /pmc/articles/PMC8652075/ /pubmed/34900960 http://dx.doi.org/10.3389/fbioe.2021.761799 Text en Copyright © 2021 Fice, Larsson and Davidsson. 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 Fice, Jason B. Larsson, Emma Davidsson, Johan Dynamic Spatial Tuning Patterns of Shoulder Muscles with Volunteers in a Driving Posture |
title | Dynamic Spatial Tuning Patterns of Shoulder Muscles with Volunteers in a Driving Posture |
title_full | Dynamic Spatial Tuning Patterns of Shoulder Muscles with Volunteers in a Driving Posture |
title_fullStr | Dynamic Spatial Tuning Patterns of Shoulder Muscles with Volunteers in a Driving Posture |
title_full_unstemmed | Dynamic Spatial Tuning Patterns of Shoulder Muscles with Volunteers in a Driving Posture |
title_short | Dynamic Spatial Tuning Patterns of Shoulder Muscles with Volunteers in a Driving Posture |
title_sort | dynamic spatial tuning patterns of shoulder muscles with volunteers in a driving posture |
topic | Bioengineering and Biotechnology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8652075/ https://www.ncbi.nlm.nih.gov/pubmed/34900960 http://dx.doi.org/10.3389/fbioe.2021.761799 |
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