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A database of high-density surface electromyogram signals comprising 65 isometric hand gestures

Control of contemporary, multi-joint prosthetic hands is commonly realized by using electromyographic signals from the muscles remaining after amputation at the forearm level. Although this principle is trying to imitate the natural control structure where muscles control the joints of the hand, in...

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Autores principales: Malešević, Nebojša, Olsson, Alexander, Sager, Paulina, Andersson, Elin, Cipriani, Christian, Controzzi, Marco, Björkman, Anders, Antfolk, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892548/
https://www.ncbi.nlm.nih.gov/pubmed/33602931
http://dx.doi.org/10.1038/s41597-021-00843-9
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author Malešević, Nebojša
Olsson, Alexander
Sager, Paulina
Andersson, Elin
Cipriani, Christian
Controzzi, Marco
Björkman, Anders
Antfolk, Christian
author_facet Malešević, Nebojša
Olsson, Alexander
Sager, Paulina
Andersson, Elin
Cipriani, Christian
Controzzi, Marco
Björkman, Anders
Antfolk, Christian
author_sort Malešević, Nebojša
collection PubMed
description Control of contemporary, multi-joint prosthetic hands is commonly realized by using electromyographic signals from the muscles remaining after amputation at the forearm level. Although this principle is trying to imitate the natural control structure where muscles control the joints of the hand, in practice, myoelectric control provides only basic hand functions to an amputee using a dexterous prosthesis. This study aims to provide an annotated database of high-density surface electromyographic signals to aid the efforts of designing robust and versatile electromyographic control interfaces for prosthetic hands. The electromyographic signals were recorded using 128 channels within two electrode grids positioned on the forearms of 20 able-bodied volunteers. The participants performed 65 different hand gestures in an isometric manner. The hand movements were strictly timed using an automated recording protocol which also synchronously recorded the electromyographic signals and hand joint forces. To assess the quality of the recorded signals several quantitative assessments were performed, such as frequency content analysis, channel crosstalk, and the detection of poor skin-electrode contacts.
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spelling pubmed-78925482021-03-03 A database of high-density surface electromyogram signals comprising 65 isometric hand gestures Malešević, Nebojša Olsson, Alexander Sager, Paulina Andersson, Elin Cipriani, Christian Controzzi, Marco Björkman, Anders Antfolk, Christian Sci Data Data Descriptor Control of contemporary, multi-joint prosthetic hands is commonly realized by using electromyographic signals from the muscles remaining after amputation at the forearm level. Although this principle is trying to imitate the natural control structure where muscles control the joints of the hand, in practice, myoelectric control provides only basic hand functions to an amputee using a dexterous prosthesis. This study aims to provide an annotated database of high-density surface electromyographic signals to aid the efforts of designing robust and versatile electromyographic control interfaces for prosthetic hands. The electromyographic signals were recorded using 128 channels within two electrode grids positioned on the forearms of 20 able-bodied volunteers. The participants performed 65 different hand gestures in an isometric manner. The hand movements were strictly timed using an automated recording protocol which also synchronously recorded the electromyographic signals and hand joint forces. To assess the quality of the recorded signals several quantitative assessments were performed, such as frequency content analysis, channel crosstalk, and the detection of poor skin-electrode contacts. Nature Publishing Group UK 2021-02-18 /pmc/articles/PMC7892548/ /pubmed/33602931 http://dx.doi.org/10.1038/s41597-021-00843-9 Text en © The Author(s) 2021 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Malešević, Nebojša
Olsson, Alexander
Sager, Paulina
Andersson, Elin
Cipriani, Christian
Controzzi, Marco
Björkman, Anders
Antfolk, Christian
A database of high-density surface electromyogram signals comprising 65 isometric hand gestures
title A database of high-density surface electromyogram signals comprising 65 isometric hand gestures
title_full A database of high-density surface electromyogram signals comprising 65 isometric hand gestures
title_fullStr A database of high-density surface electromyogram signals comprising 65 isometric hand gestures
title_full_unstemmed A database of high-density surface electromyogram signals comprising 65 isometric hand gestures
title_short A database of high-density surface electromyogram signals comprising 65 isometric hand gestures
title_sort database of high-density surface electromyogram signals comprising 65 isometric hand gestures
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892548/
https://www.ncbi.nlm.nih.gov/pubmed/33602931
http://dx.doi.org/10.1038/s41597-021-00843-9
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