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Finger Muscle Attachments for an OpenSim Upper-Extremity Model

We determined muscle attachment points for the index, middle, ring and little fingers in an OpenSim upper-extremity model. Attachment points were selected to match both experimentally measured locations and mechanical function (moment arms). Although experimental measurements of finger muscle attach...

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Autores principales: Lee, Jong Hwa, Asakawa, Deanna S., Dennerlein, Jack T., Jindrich, Devin L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4390324/
https://www.ncbi.nlm.nih.gov/pubmed/25853869
http://dx.doi.org/10.1371/journal.pone.0121712
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author Lee, Jong Hwa
Asakawa, Deanna S.
Dennerlein, Jack T.
Jindrich, Devin L.
author_facet Lee, Jong Hwa
Asakawa, Deanna S.
Dennerlein, Jack T.
Jindrich, Devin L.
author_sort Lee, Jong Hwa
collection PubMed
description We determined muscle attachment points for the index, middle, ring and little fingers in an OpenSim upper-extremity model. Attachment points were selected to match both experimentally measured locations and mechanical function (moment arms). Although experimental measurements of finger muscle attachments have been made, models differ from specimens in many respects such as bone segment ratio, joint kinematics and coordinate system. Likewise, moment arms are not available for all intrinsic finger muscles. Therefore, it was necessary to scale and translate muscle attachments from one experimental or model environment to another while preserving mechanical function. We used a two-step process. First, we estimated muscle function by calculating moment arms for all intrinsic and extrinsic muscles using the partial velocity method. Second, optimization using Simulated Annealing and Hooke-Jeeves algorithms found muscle-tendon paths that minimized root mean square (RMS) differences between experimental and modeled moment arms. The partial velocity method resulted in variance accounted for (VAF) between measured and calculated moment arms of 75.5% on average (range from 48.5% to 99.5%) for intrinsic and extrinsic index finger muscles where measured data were available. RMS error between experimental and optimized values was within one standard deviation (S.D) of measured moment arm (mean RMS error = 1.5 mm < measured S.D = 2.5 mm). Validation of both steps of the technique allowed for estimation of muscle attachment points for muscles whose moment arms have not been measured. Differences between modeled and experimentally measured muscle attachments, averaged over all finger joints, were less than 4.9 mm (within 7.1% of the average length of the muscle-tendon paths). The resulting non-proprietary musculoskeletal model of the human fingers could be useful for many applications, including better understanding of complex multi-touch and gestural movements.
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spelling pubmed-43903242015-04-21 Finger Muscle Attachments for an OpenSim Upper-Extremity Model Lee, Jong Hwa Asakawa, Deanna S. Dennerlein, Jack T. Jindrich, Devin L. PLoS One Research Article We determined muscle attachment points for the index, middle, ring and little fingers in an OpenSim upper-extremity model. Attachment points were selected to match both experimentally measured locations and mechanical function (moment arms). Although experimental measurements of finger muscle attachments have been made, models differ from specimens in many respects such as bone segment ratio, joint kinematics and coordinate system. Likewise, moment arms are not available for all intrinsic finger muscles. Therefore, it was necessary to scale and translate muscle attachments from one experimental or model environment to another while preserving mechanical function. We used a two-step process. First, we estimated muscle function by calculating moment arms for all intrinsic and extrinsic muscles using the partial velocity method. Second, optimization using Simulated Annealing and Hooke-Jeeves algorithms found muscle-tendon paths that minimized root mean square (RMS) differences between experimental and modeled moment arms. The partial velocity method resulted in variance accounted for (VAF) between measured and calculated moment arms of 75.5% on average (range from 48.5% to 99.5%) for intrinsic and extrinsic index finger muscles where measured data were available. RMS error between experimental and optimized values was within one standard deviation (S.D) of measured moment arm (mean RMS error = 1.5 mm < measured S.D = 2.5 mm). Validation of both steps of the technique allowed for estimation of muscle attachment points for muscles whose moment arms have not been measured. Differences between modeled and experimentally measured muscle attachments, averaged over all finger joints, were less than 4.9 mm (within 7.1% of the average length of the muscle-tendon paths). The resulting non-proprietary musculoskeletal model of the human fingers could be useful for many applications, including better understanding of complex multi-touch and gestural movements. Public Library of Science 2015-04-08 /pmc/articles/PMC4390324/ /pubmed/25853869 http://dx.doi.org/10.1371/journal.pone.0121712 Text en © 2015 Lee et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lee, Jong Hwa
Asakawa, Deanna S.
Dennerlein, Jack T.
Jindrich, Devin L.
Finger Muscle Attachments for an OpenSim Upper-Extremity Model
title Finger Muscle Attachments for an OpenSim Upper-Extremity Model
title_full Finger Muscle Attachments for an OpenSim Upper-Extremity Model
title_fullStr Finger Muscle Attachments for an OpenSim Upper-Extremity Model
title_full_unstemmed Finger Muscle Attachments for an OpenSim Upper-Extremity Model
title_short Finger Muscle Attachments for an OpenSim Upper-Extremity Model
title_sort finger muscle attachments for an opensim upper-extremity model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4390324/
https://www.ncbi.nlm.nih.gov/pubmed/25853869
http://dx.doi.org/10.1371/journal.pone.0121712
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