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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...

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Detalles Bibliográficos
Autores principales: Gionfrida, Letizia, Nuckols, Richard W., Walsh, Conor J., Howe, Robert D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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