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A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions
Hand movement is controlled by a large number of muscles acting on multiple joints in the hand and forearm. In a forearm amputee the control of a hand prosthesis is traditionally depending on electromyography from the remaining forearm muscles. Technical improvements have made it possible to safely...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949289/ https://www.ncbi.nlm.nih.gov/pubmed/31913289 http://dx.doi.org/10.1038/s41597-019-0335-8 |
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author | Malesevic, Nebojsa Björkman, Anders Andersson, Gert S. Matran-Fernandez, Ana Citi, Luca Cipriani, Christian Antfolk, Christian |
author_facet | Malesevic, Nebojsa Björkman, Anders Andersson, Gert S. Matran-Fernandez, Ana Citi, Luca Cipriani, Christian Antfolk, Christian |
author_sort | Malesevic, Nebojsa |
collection | PubMed |
description | Hand movement is controlled by a large number of muscles acting on multiple joints in the hand and forearm. In a forearm amputee the control of a hand prosthesis is traditionally depending on electromyography from the remaining forearm muscles. Technical improvements have made it possible to safely and routinely implant electrodes inside the muscles and record high-quality signals from individual muscles. In this study, we present a database of intramuscular EMG signals recorded with fine-wire electrodes alongside recordings of hand forces in an isometric setup and with the addition of spike-sorted metadata. Six forearm muscles were recorded from twelve able-bodied subjects and nine forearm muscles from two subjects. The fully automated recording protocol, based on command cues, comprised a variety of hand movements, including some requiring slowly increasing/decreasing force. The recorded data can be used to develop and test algorithms for control of a prosthetic hand. Assessment of the signals was done in both quantitative and qualitative manners. |
format | Online Article Text |
id | pubmed-6949289 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69492892020-01-13 A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions Malesevic, Nebojsa Björkman, Anders Andersson, Gert S. Matran-Fernandez, Ana Citi, Luca Cipriani, Christian Antfolk, Christian Sci Data Data Descriptor Hand movement is controlled by a large number of muscles acting on multiple joints in the hand and forearm. In a forearm amputee the control of a hand prosthesis is traditionally depending on electromyography from the remaining forearm muscles. Technical improvements have made it possible to safely and routinely implant electrodes inside the muscles and record high-quality signals from individual muscles. In this study, we present a database of intramuscular EMG signals recorded with fine-wire electrodes alongside recordings of hand forces in an isometric setup and with the addition of spike-sorted metadata. Six forearm muscles were recorded from twelve able-bodied subjects and nine forearm muscles from two subjects. The fully automated recording protocol, based on command cues, comprised a variety of hand movements, including some requiring slowly increasing/decreasing force. The recorded data can be used to develop and test algorithms for control of a prosthetic hand. Assessment of the signals was done in both quantitative and qualitative manners. Nature Publishing Group UK 2020-01-08 /pmc/articles/PMC6949289/ /pubmed/31913289 http://dx.doi.org/10.1038/s41597-019-0335-8 Text en © The Author(s) 2020 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 Malesevic, Nebojsa Björkman, Anders Andersson, Gert S. Matran-Fernandez, Ana Citi, Luca Cipriani, Christian Antfolk, Christian A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions |
title | A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions |
title_full | A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions |
title_fullStr | A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions |
title_full_unstemmed | A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions |
title_short | A database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions |
title_sort | database of multi-channel intramuscular electromyogram signals during isometric hand muscles contractions |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949289/ https://www.ncbi.nlm.nih.gov/pubmed/31913289 http://dx.doi.org/10.1038/s41597-019-0335-8 |
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