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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Society of Physical Therapy Science
2020
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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. |
format | Online Article Text |
id | pubmed-7008027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Society of Physical Therapy Science |
record_format | MEDLINE/PubMed |
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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