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E-textile based modular sEMG suit for large area level of effort analysis

We present a novel design for an e-textile based surface electromyography (sEMG) suit that incorporates stretchable conductive textiles as electrodes and interconnects within an athletic compression garment. The fabrication and assembly approach is a facile combination of laser cutting and heat-pres...

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Autores principales: Ohiri, Korine A., Pyles, Connor O., Hamilton, Leslie H., Baker, Megan M., McGuire, Matthew T., Nguyen, Eric Q., Osborn, Luke E., Rossick, Katelyn M., McDowell, Emil G., Strohsnitter, Leah M., Currano, Luke J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187645/
https://www.ncbi.nlm.nih.gov/pubmed/35688946
http://dx.doi.org/10.1038/s41598-022-13701-4
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author Ohiri, Korine A.
Pyles, Connor O.
Hamilton, Leslie H.
Baker, Megan M.
McGuire, Matthew T.
Nguyen, Eric Q.
Osborn, Luke E.
Rossick, Katelyn M.
McDowell, Emil G.
Strohsnitter, Leah M.
Currano, Luke J.
author_facet Ohiri, Korine A.
Pyles, Connor O.
Hamilton, Leslie H.
Baker, Megan M.
McGuire, Matthew T.
Nguyen, Eric Q.
Osborn, Luke E.
Rossick, Katelyn M.
McDowell, Emil G.
Strohsnitter, Leah M.
Currano, Luke J.
author_sort Ohiri, Korine A.
collection PubMed
description We present a novel design for an e-textile based surface electromyography (sEMG) suit that incorporates stretchable conductive textiles as electrodes and interconnects within an athletic compression garment. The fabrication and assembly approach is a facile combination of laser cutting and heat-press lamination that provides for rapid prototyping of designs in a typical research environment without need for any specialized textile or garment manufacturing equipment. The materials used are robust to wear, resilient to the high strains encountered in clothing, and can be machine laundered. The suit produces sEMG signal quality comparable to conventional adhesive electrodes, but with improved comfort, longevity, and reusability. The embedded electronics provide signal conditioning, amplification, digitization, and processing power to convert the raw EMG signals to a level-of-effort estimation for flexion and extension of the elbow and knee joints. The approach we detail herein is also expected to be extensible to a variety of other electrophysiological sensors.
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spelling pubmed-91876452022-06-12 E-textile based modular sEMG suit for large area level of effort analysis Ohiri, Korine A. Pyles, Connor O. Hamilton, Leslie H. Baker, Megan M. McGuire, Matthew T. Nguyen, Eric Q. Osborn, Luke E. Rossick, Katelyn M. McDowell, Emil G. Strohsnitter, Leah M. Currano, Luke J. Sci Rep Article We present a novel design for an e-textile based surface electromyography (sEMG) suit that incorporates stretchable conductive textiles as electrodes and interconnects within an athletic compression garment. The fabrication and assembly approach is a facile combination of laser cutting and heat-press lamination that provides for rapid prototyping of designs in a typical research environment without need for any specialized textile or garment manufacturing equipment. The materials used are robust to wear, resilient to the high strains encountered in clothing, and can be machine laundered. The suit produces sEMG signal quality comparable to conventional adhesive electrodes, but with improved comfort, longevity, and reusability. The embedded electronics provide signal conditioning, amplification, digitization, and processing power to convert the raw EMG signals to a level-of-effort estimation for flexion and extension of the elbow and knee joints. The approach we detail herein is also expected to be extensible to a variety of other electrophysiological sensors. Nature Publishing Group UK 2022-06-10 /pmc/articles/PMC9187645/ /pubmed/35688946 http://dx.doi.org/10.1038/s41598-022-13701-4 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 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
Ohiri, Korine A.
Pyles, Connor O.
Hamilton, Leslie H.
Baker, Megan M.
McGuire, Matthew T.
Nguyen, Eric Q.
Osborn, Luke E.
Rossick, Katelyn M.
McDowell, Emil G.
Strohsnitter, Leah M.
Currano, Luke J.
E-textile based modular sEMG suit for large area level of effort analysis
title E-textile based modular sEMG suit for large area level of effort analysis
title_full E-textile based modular sEMG suit for large area level of effort analysis
title_fullStr E-textile based modular sEMG suit for large area level of effort analysis
title_full_unstemmed E-textile based modular sEMG suit for large area level of effort analysis
title_short E-textile based modular sEMG suit for large area level of effort analysis
title_sort e-textile based modular semg suit for large area level of effort analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9187645/
https://www.ncbi.nlm.nih.gov/pubmed/35688946
http://dx.doi.org/10.1038/s41598-022-13701-4
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