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Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance
In the field of wearable robotics, assistance needs to be individualized for the user to maximize benefit. Information from muscle fascicles automatically recorded from brightness mode (B-mode) ultrasound has been used to design assistance profiles that are proportional to the estimated muscle force...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921922/ https://www.ncbi.nlm.nih.gov/pubmed/36772710 http://dx.doi.org/10.3390/s23031670 |
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author | Gionfrida, Letizia Nuckols, Richard W. Walsh, Conor J. Howe, Robert D. |
author_facet | Gionfrida, Letizia Nuckols, Richard W. Walsh, Conor J. Howe, Robert D. |
author_sort | Gionfrida, Letizia |
collection | PubMed |
description | In the field of wearable robotics, assistance needs to be individualized for the user to maximize benefit. Information from muscle fascicles automatically recorded from brightness mode (B-mode) ultrasound has been used to design assistance profiles that are proportional to the estimated muscle force of young individuals. There is also a desire to develop similar strategies for older adults who may have age-altered physiology. This study introduces and validates a ResNet + 2x-LSTM model for extracting fascicle lengths in young and older adults. The labeling was generated in a semimanual manner for young (40,696 frames) and older adults (34,262 frames) depicting B-mode imaging of the medial gastrocnemius. First, the model was trained on young and tested on both young (R(2) = 0.85, RMSE = 2.36 ± 1.51 mm, MAPE = 3.6%, aaDF = 0.48 ± 1.1 mm) and older adults (R(2) = 0.53, RMSE = 4.7 ± 2.51 mm, MAPE = 5.19%, aaDF = 1.9 ± 1.39 mm). Then, the performances were trained across all ages (R(2) = 0.79, RMSE = 3.95 ± 2.51 mm, MAPE = 4.5%, aaDF = 0.67 ± 1.8 mm). Although age-related muscle loss affects the error of the tracking methodology compared to the young population, the absolute percentage error for individual fascicles leads to a small variation of 3–5%, suggesting that the error may be acceptable in the generation of assistive force profiles. |
format | Online Article Text |
id | pubmed-9921922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99219222023-02-12 Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance Gionfrida, Letizia Nuckols, Richard W. Walsh, Conor J. Howe, Robert D. Sensors (Basel) Article In the field of wearable robotics, assistance needs to be individualized for the user to maximize benefit. Information from muscle fascicles automatically recorded from brightness mode (B-mode) ultrasound has been used to design assistance profiles that are proportional to the estimated muscle force of young individuals. There is also a desire to develop similar strategies for older adults who may have age-altered physiology. This study introduces and validates a ResNet + 2x-LSTM model for extracting fascicle lengths in young and older adults. The labeling was generated in a semimanual manner for young (40,696 frames) and older adults (34,262 frames) depicting B-mode imaging of the medial gastrocnemius. First, the model was trained on young and tested on both young (R(2) = 0.85, RMSE = 2.36 ± 1.51 mm, MAPE = 3.6%, aaDF = 0.48 ± 1.1 mm) and older adults (R(2) = 0.53, RMSE = 4.7 ± 2.51 mm, MAPE = 5.19%, aaDF = 1.9 ± 1.39 mm). Then, the performances were trained across all ages (R(2) = 0.79, RMSE = 3.95 ± 2.51 mm, MAPE = 4.5%, aaDF = 0.67 ± 1.8 mm). Although age-related muscle loss affects the error of the tracking methodology compared to the young population, the absolute percentage error for individual fascicles leads to a small variation of 3–5%, suggesting that the error may be acceptable in the generation of assistive force profiles. MDPI 2023-02-03 /pmc/articles/PMC9921922/ /pubmed/36772710 http://dx.doi.org/10.3390/s23031670 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gionfrida, Letizia Nuckols, Richard W. Walsh, Conor J. Howe, Robert D. Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance |
title | Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance |
title_full | Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance |
title_fullStr | Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance |
title_full_unstemmed | Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance |
title_short | Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance |
title_sort | age-related reliability of b-mode analysis for tailored exosuit assistance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921922/ https://www.ncbi.nlm.nih.gov/pubmed/36772710 http://dx.doi.org/10.3390/s23031670 |
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