Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Malesevic, Nebojsa, Björkman, Anders, Andersson, Gert S., Matran-Fernandez, Ana, Citi, Luca, Cipriani, Christian, Antfolk, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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
_version_ 1783485892852187136
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
work_keys_str_mv AT malesevicnebojsa adatabaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT bjorkmananders adatabaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT anderssongerts adatabaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT matranfernandezana adatabaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT citiluca adatabaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT ciprianichristian adatabaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT antfolkchristian adatabaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT malesevicnebojsa databaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT bjorkmananders databaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT anderssongerts databaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT matranfernandezana databaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT citiluca databaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT ciprianichristian databaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions
AT antfolkchristian databaseofmultichannelintramuscularelectromyogramsignalsduringisometrichandmusclescontractions