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Possible predictive formulas for quantitative and time-based estimation of muscle strength during motion

[Purpose] To examine the validity of the predictive formulas based on the angle information of the segment center of mass and moments of inertia, and to propose a joint moment estimation method. [Participants and Methods] Twenty nine young healthy adults were divided into two groups: the Creation gr...

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Autores principales: Matsumura, Umi, Kai, Ayana, Numata, Miku, Lee, Yeonghee, Yamamoto, Shimpei, Tsurusaki, Toshiya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Society of Physical Therapy Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7008027/
https://www.ncbi.nlm.nih.gov/pubmed/32082024
http://dx.doi.org/10.1589/jpts.32.27
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author Matsumura, Umi
Kai, Ayana
Numata, Miku
Lee, Yeonghee
Yamamoto, Shimpei
Tsurusaki, Toshiya
author_facet Matsumura, Umi
Kai, Ayana
Numata, Miku
Lee, Yeonghee
Yamamoto, Shimpei
Tsurusaki, Toshiya
author_sort Matsumura, Umi
collection PubMed
description [Purpose] To examine the validity of the predictive formulas based on the angle information of the segment center of mass and moments of inertia, and to propose a joint moment estimation method. [Participants and Methods] Twenty nine young healthy adults were divided into two groups: the Creation group (20 adults) was needed to create the prediction formulas, and the Verification group (9 adults) was needed to verify the formulas. By monitoring the Creation group, the angular information from inertial motion sensors and moments of inertia of each limb were used to estimate actual ankle joint moment and knee joint moment. Thereafter, the actual joint moments was derived from the Verification group and compared to the predicted values via Pearson correlations. [Results] Good to excellent correlations were obtained between the actual joint moments of the two groups for most of the motions. [Conclusion] It is suggested that the predictive formulas created from the angle information of the segment center of mass and moments of inertia can be used for an approximate estimation of the lower limb joint moments in the sagittal plane and more clinically useful tools need to be considered in the future.
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spelling pubmed-70080272020-02-20 Possible predictive formulas for quantitative and time-based estimation of muscle strength during motion Matsumura, Umi Kai, Ayana Numata, Miku Lee, Yeonghee Yamamoto, Shimpei Tsurusaki, Toshiya J Phys Ther Sci Original Article [Purpose] To examine the validity of the predictive formulas based on the angle information of the segment center of mass and moments of inertia, and to propose a joint moment estimation method. [Participants and Methods] Twenty nine young healthy adults were divided into two groups: the Creation group (20 adults) was needed to create the prediction formulas, and the Verification group (9 adults) was needed to verify the formulas. By monitoring the Creation group, the angular information from inertial motion sensors and moments of inertia of each limb were used to estimate actual ankle joint moment and knee joint moment. Thereafter, the actual joint moments was derived from the Verification group and compared to the predicted values via Pearson correlations. [Results] Good to excellent correlations were obtained between the actual joint moments of the two groups for most of the motions. [Conclusion] It is suggested that the predictive formulas created from the angle information of the segment center of mass and moments of inertia can be used for an approximate estimation of the lower limb joint moments in the sagittal plane and more clinically useful tools need to be considered in the future. The Society of Physical Therapy Science 2020-01-22 2020-01 /pmc/articles/PMC7008027/ /pubmed/32082024 http://dx.doi.org/10.1589/jpts.32.27 Text en 2020©by the Society of Physical Therapy Science. Published by IPEC Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Article
Matsumura, Umi
Kai, Ayana
Numata, Miku
Lee, Yeonghee
Yamamoto, Shimpei
Tsurusaki, Toshiya
Possible predictive formulas for quantitative and time-based estimation of muscle strength during motion
title Possible predictive formulas for quantitative and time-based estimation of muscle strength during motion
title_full Possible predictive formulas for quantitative and time-based estimation of muscle strength during motion
title_fullStr Possible predictive formulas for quantitative and time-based estimation of muscle strength during motion
title_full_unstemmed Possible predictive formulas for quantitative and time-based estimation of muscle strength during motion
title_short Possible predictive formulas for quantitative and time-based estimation of muscle strength during motion
title_sort possible predictive formulas for quantitative and time-based estimation of muscle strength during motion
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7008027/
https://www.ncbi.nlm.nih.gov/pubmed/32082024
http://dx.doi.org/10.1589/jpts.32.27
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