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Muscle Engagement Monitoring Using Self-Adhesive Elastic Nanocomposite Fabrics
Insight into, and measurements of, muscle contraction during movement may help improve the assessment of muscle function, quantification of athletic performance, and understanding of muscle behavior, prior to and during rehabilitation following neuromusculoskeletal injury. A self-adhesive, elastic f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503620/ https://www.ncbi.nlm.nih.gov/pubmed/36146120 http://dx.doi.org/10.3390/s22186768 |
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author | Lin, Yun-An Mhaskar, Yash Silder, Amy Sessoms, Pinata H. Fraser, John J. Loh, Kenneth J. |
author_facet | Lin, Yun-An Mhaskar, Yash Silder, Amy Sessoms, Pinata H. Fraser, John J. Loh, Kenneth J. |
author_sort | Lin, Yun-An |
collection | PubMed |
description | Insight into, and measurements of, muscle contraction during movement may help improve the assessment of muscle function, quantification of athletic performance, and understanding of muscle behavior, prior to and during rehabilitation following neuromusculoskeletal injury. A self-adhesive, elastic fabric, nanocomposite, skin-strain sensor was developed and validated for human movement monitoring. We hypothesized that skin-strain measurements from these wearables would reveal different degrees of muscle engagement during functional movements. To test this hypothesis, the strain sensing properties of the elastic fabric sensors, especially their linearity, stability, repeatability, and sensitivity, were first verified using load frame tests. Human subject tests conducted in parallel with optical motion capture confirmed that they can reliably measure tensile and compressive skin-strains across the calf and tibialis anterior. Then, a pilot study was conducted to assess the correlation of skin-strain measurements with surface electromyography (sEMG) signals. Subjects did biceps curls with different weights, and the responses of the elastic fabric sensors worn over the biceps brachii and flexor carpi radialis (i.e., forearm) were well-correlated with sEMG muscle engagement measures. These nanocomposite fabric sensors were validated for monitoring muscle engagement during functional activities and did not suffer from the motion artifacts typically observed when using sEMGs in free-living community settings. |
format | Online Article Text |
id | pubmed-9503620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95036202022-09-24 Muscle Engagement Monitoring Using Self-Adhesive Elastic Nanocomposite Fabrics Lin, Yun-An Mhaskar, Yash Silder, Amy Sessoms, Pinata H. Fraser, John J. Loh, Kenneth J. Sensors (Basel) Article Insight into, and measurements of, muscle contraction during movement may help improve the assessment of muscle function, quantification of athletic performance, and understanding of muscle behavior, prior to and during rehabilitation following neuromusculoskeletal injury. A self-adhesive, elastic fabric, nanocomposite, skin-strain sensor was developed and validated for human movement monitoring. We hypothesized that skin-strain measurements from these wearables would reveal different degrees of muscle engagement during functional movements. To test this hypothesis, the strain sensing properties of the elastic fabric sensors, especially their linearity, stability, repeatability, and sensitivity, were first verified using load frame tests. Human subject tests conducted in parallel with optical motion capture confirmed that they can reliably measure tensile and compressive skin-strains across the calf and tibialis anterior. Then, a pilot study was conducted to assess the correlation of skin-strain measurements with surface electromyography (sEMG) signals. Subjects did biceps curls with different weights, and the responses of the elastic fabric sensors worn over the biceps brachii and flexor carpi radialis (i.e., forearm) were well-correlated with sEMG muscle engagement measures. These nanocomposite fabric sensors were validated for monitoring muscle engagement during functional activities and did not suffer from the motion artifacts typically observed when using sEMGs in free-living community settings. MDPI 2022-09-07 /pmc/articles/PMC9503620/ /pubmed/36146120 http://dx.doi.org/10.3390/s22186768 Text en © 2022 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 Lin, Yun-An Mhaskar, Yash Silder, Amy Sessoms, Pinata H. Fraser, John J. Loh, Kenneth J. Muscle Engagement Monitoring Using Self-Adhesive Elastic Nanocomposite Fabrics |
title | Muscle Engagement Monitoring Using Self-Adhesive Elastic Nanocomposite Fabrics |
title_full | Muscle Engagement Monitoring Using Self-Adhesive Elastic Nanocomposite Fabrics |
title_fullStr | Muscle Engagement Monitoring Using Self-Adhesive Elastic Nanocomposite Fabrics |
title_full_unstemmed | Muscle Engagement Monitoring Using Self-Adhesive Elastic Nanocomposite Fabrics |
title_short | Muscle Engagement Monitoring Using Self-Adhesive Elastic Nanocomposite Fabrics |
title_sort | muscle engagement monitoring using self-adhesive elastic nanocomposite fabrics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503620/ https://www.ncbi.nlm.nih.gov/pubmed/36146120 http://dx.doi.org/10.3390/s22186768 |
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