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SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements
We present the SurfacE Electromyographic with hanD kinematicS (SEEDS) database. It contains electromyographic (EMG) signals and hand kinematics recorded from the forearm muscles of 25 non-disabled subjects while performing 13 different movements at normal and slow-paced speeds. EMG signals were reco...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768861/ https://www.ncbi.nlm.nih.gov/pubmed/31570723 http://dx.doi.org/10.1038/s41597-019-0200-9 |
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author | Matran-Fernandez, Ana Rodríguez Martínez, Itzel Jared Poli, Riccardo Cipriani, Christian Citi, Luca |
author_facet | Matran-Fernandez, Ana Rodríguez Martínez, Itzel Jared Poli, Riccardo Cipriani, Christian Citi, Luca |
author_sort | Matran-Fernandez, Ana |
collection | PubMed |
description | We present the SurfacE Electromyographic with hanD kinematicS (SEEDS) database. It contains electromyographic (EMG) signals and hand kinematics recorded from the forearm muscles of 25 non-disabled subjects while performing 13 different movements at normal and slow-paced speeds. EMG signals were recorded with a high-density 126-channel array centered on the extrinsic flexors of the fingers and 8 further electrodes placed on the extrinsic extensor muscles. A data-glove was used to record 18 angles from the joints of the wrist and fingers. The correct synchronisation of the data-glove and the EMG was ascertained and the resulting data were further validated by implementing a simple classification of the movements. These data can be used to test experimental hypotheses regarding EMG and hand kinematics. Our database allows for the extraction of the neural drive as well as performing electrode selection from the high-density EMG signals. Moreover, the hand kinematic signals allow the development of proportional methods of control of the hand in addition to the more traditional movement classification approaches. |
format | Online Article Text |
id | pubmed-6768861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67688612019-10-03 SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements Matran-Fernandez, Ana Rodríguez Martínez, Itzel Jared Poli, Riccardo Cipriani, Christian Citi, Luca Sci Data Data Descriptor We present the SurfacE Electromyographic with hanD kinematicS (SEEDS) database. It contains electromyographic (EMG) signals and hand kinematics recorded from the forearm muscles of 25 non-disabled subjects while performing 13 different movements at normal and slow-paced speeds. EMG signals were recorded with a high-density 126-channel array centered on the extrinsic flexors of the fingers and 8 further electrodes placed on the extrinsic extensor muscles. A data-glove was used to record 18 angles from the joints of the wrist and fingers. The correct synchronisation of the data-glove and the EMG was ascertained and the resulting data were further validated by implementing a simple classification of the movements. These data can be used to test experimental hypotheses regarding EMG and hand kinematics. Our database allows for the extraction of the neural drive as well as performing electrode selection from the high-density EMG signals. Moreover, the hand kinematic signals allow the development of proportional methods of control of the hand in addition to the more traditional movement classification approaches. Nature Publishing Group UK 2019-09-30 /pmc/articles/PMC6768861/ /pubmed/31570723 http://dx.doi.org/10.1038/s41597-019-0200-9 Text en © The Author(s) 2019 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 Matran-Fernandez, Ana Rodríguez Martínez, Itzel Jared Poli, Riccardo Cipriani, Christian Citi, Luca SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements |
title | SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements |
title_full | SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements |
title_fullStr | SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements |
title_full_unstemmed | SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements |
title_short | SEEDS, simultaneous recordings of high-density EMG and finger joint angles during multiple hand movements |
title_sort | seeds, simultaneous recordings of high-density emg and finger joint angles during multiple hand movements |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768861/ https://www.ncbi.nlm.nih.gov/pubmed/31570723 http://dx.doi.org/10.1038/s41597-019-0200-9 |
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