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Evaluation of center of mass estimation for obese using statically equivalent serial chain
The complex structure of the human body makes its center of mass (CoM) estimation very challenging. The typically used estimation methods usually suffer from large estimation errors when applied to bodies with structural differences. Thus, a reliable estimation method is of utmost importance. In thi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792584/ https://www.ncbi.nlm.nih.gov/pubmed/36572764 http://dx.doi.org/10.1038/s41598-022-26763-1 |
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author | Chebel, Elie Tunc, Burcu |
author_facet | Chebel, Elie Tunc, Burcu |
author_sort | Chebel, Elie |
collection | PubMed |
description | The complex structure of the human body makes its center of mass (CoM) estimation very challenging. The typically used estimation methods usually suffer from large estimation errors when applied to bodies with structural differences. Thus, a reliable estimation method is of utmost importance. In this paper, we present a detailed evaluation of a subject-specific CoM estimation technique named Statically Equivalent Serial Chain (SESC) by investigating its estimation ability over two different groups of subjects (Fit and Obese) in comparison to the segmental analysis method. For this study, we used an IMU-based motion capture system and a force platform to record the joint angles and corresponding center of pressure (CoP) values of twenty-five participants while performing a series of static postures. The root-mean-square errors (RMSE) of SESC’s estimation for both groups showed close and lower mean values, whereas the segmental analysis method showed significantly larger RMSE values in comparison to SESC (p < 0.05). In addition, we used the Bland–Altman analysis to evaluate the agreement between the two techniques and the ground truth CoP, which showed the accuracy, precision, and reliability of SESC over both groups. In contrast, the segmental analysis method did not present neither accurate nor precise estimations, as our analysis revealed considerable fixed and proportional biases. |
format | Online Article Text |
id | pubmed-9792584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97925842022-12-28 Evaluation of center of mass estimation for obese using statically equivalent serial chain Chebel, Elie Tunc, Burcu Sci Rep Article The complex structure of the human body makes its center of mass (CoM) estimation very challenging. The typically used estimation methods usually suffer from large estimation errors when applied to bodies with structural differences. Thus, a reliable estimation method is of utmost importance. In this paper, we present a detailed evaluation of a subject-specific CoM estimation technique named Statically Equivalent Serial Chain (SESC) by investigating its estimation ability over two different groups of subjects (Fit and Obese) in comparison to the segmental analysis method. For this study, we used an IMU-based motion capture system and a force platform to record the joint angles and corresponding center of pressure (CoP) values of twenty-five participants while performing a series of static postures. The root-mean-square errors (RMSE) of SESC’s estimation for both groups showed close and lower mean values, whereas the segmental analysis method showed significantly larger RMSE values in comparison to SESC (p < 0.05). In addition, we used the Bland–Altman analysis to evaluate the agreement between the two techniques and the ground truth CoP, which showed the accuracy, precision, and reliability of SESC over both groups. In contrast, the segmental analysis method did not present neither accurate nor precise estimations, as our analysis revealed considerable fixed and proportional biases. Nature Publishing Group UK 2022-12-26 /pmc/articles/PMC9792584/ /pubmed/36572764 http://dx.doi.org/10.1038/s41598-022-26763-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chebel, Elie Tunc, Burcu Evaluation of center of mass estimation for obese using statically equivalent serial chain |
title | Evaluation of center of mass estimation for obese using statically equivalent serial chain |
title_full | Evaluation of center of mass estimation for obese using statically equivalent serial chain |
title_fullStr | Evaluation of center of mass estimation for obese using statically equivalent serial chain |
title_full_unstemmed | Evaluation of center of mass estimation for obese using statically equivalent serial chain |
title_short | Evaluation of center of mass estimation for obese using statically equivalent serial chain |
title_sort | evaluation of center of mass estimation for obese using statically equivalent serial chain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792584/ https://www.ncbi.nlm.nih.gov/pubmed/36572764 http://dx.doi.org/10.1038/s41598-022-26763-1 |
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