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....
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Frontiers Media S.A.
2021
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oai:doaj.org-article:492cc336b5244b36aa72bcd04f8c711d2021-11-30T18:05:13ZDynamic Spatial Tuning Patterns of Shoulder Muscles with Volunteers in a Driving Posture2296-418510.3389/fbioe.2021.761799https://doaj.org/article/492cc336b5244b36aa72bcd04f8c711d2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fbioe.2021.761799/fullhttps://doaj.org/toc/2296-4185Computational 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.Jason B. FiceEmma LarssonJohan DavidssonFrontiers Media S.A.articlevolunteer dataspatial tuningshoulder muscleshuman body modelsvolunteer testingBiotechnologyTP248.13-248.65ENFrontiers in Bioengineering and Biotechnology, Vol 9 (2021) |
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volunteer data spatial tuning shoulder muscles human body models volunteer testing Biotechnology TP248.13-248.65 |
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volunteer data spatial tuning shoulder muscles human body models volunteer testing Biotechnology TP248.13-248.65 Jason B. Fice Emma Larsson Johan Davidsson Dynamic Spatial Tuning Patterns of Shoulder Muscles with Volunteers in a Driving Posture |
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 |
article |
author |
Jason B. Fice Emma Larsson Johan Davidsson |
author_facet |
Jason B. Fice Emma Larsson Johan Davidsson |
author_sort |
Jason B. Fice |
title |
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_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_sort |
dynamic spatial tuning patterns of shoulder muscles with volunteers in a driving posture |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/492cc336b5244b36aa72bcd04f8c711d |
work_keys_str_mv |
AT jasonbfice dynamicspatialtuningpatternsofshouldermuscleswithvolunteersinadrivingposture AT emmalarsson dynamicspatialtuningpatternsofshouldermuscleswithvolunteersinadrivingposture AT johandavidsson dynamicspatialtuningpatternsofshouldermuscleswithvolunteersinadrivingposture |
_version_ |
1718406375900446720 |