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Data captured using low-cost active electromyography

Surface electromyography (sEMG) data was captured for three able-body subjects, from their right biceps brachii using the POLE sensor outlined in “Low-cost active electromyography” [1]. Data was captured for 45 seconds per subject, resulting in 12–21 contractions per subject. The raw data files, alo...

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Detalles Bibliográficos
Autores principales: Fortune, Benjamin C., Pretty, Christopher G., Chatfield, Logan T., McKenzie, Lachlan R., Hayes, Michael P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025176/
https://www.ncbi.nlm.nih.gov/pubmed/32090160
http://dx.doi.org/10.1016/j.dib.2020.105239
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author Fortune, Benjamin C.
Pretty, Christopher G.
Chatfield, Logan T.
McKenzie, Lachlan R.
Hayes, Michael P.
author_facet Fortune, Benjamin C.
Pretty, Christopher G.
Chatfield, Logan T.
McKenzie, Lachlan R.
Hayes, Michael P.
author_sort Fortune, Benjamin C.
collection PubMed
description Surface electromyography (sEMG) data was captured for three able-body subjects, from their right biceps brachii using the POLE sensor outlined in “Low-cost active electromyography” [1]. Data was captured for 45 seconds per subject, resulting in 12–21 contractions per subject. The raw data files, along with a sinusoidal waveform have been provided. This allows users of the POLE sensor to verify their low-cost sEMG device has been populated and configured correctly. This data also allows researchers/developers to compare their results against this low-cost, low noise sEMG device. The frequency content of the raw sEMG data is also of interest; this is calculated by applying a fast Fourier transform (FFT). The process applied to perform these algorithms is supplied in a MATLAB script.
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spelling pubmed-70251762020-02-21 Data captured using low-cost active electromyography Fortune, Benjamin C. Pretty, Christopher G. Chatfield, Logan T. McKenzie, Lachlan R. Hayes, Michael P. Data Brief Engineering Surface electromyography (sEMG) data was captured for three able-body subjects, from their right biceps brachii using the POLE sensor outlined in “Low-cost active electromyography” [1]. Data was captured for 45 seconds per subject, resulting in 12–21 contractions per subject. The raw data files, along with a sinusoidal waveform have been provided. This allows users of the POLE sensor to verify their low-cost sEMG device has been populated and configured correctly. This data also allows researchers/developers to compare their results against this low-cost, low noise sEMG device. The frequency content of the raw sEMG data is also of interest; this is calculated by applying a fast Fourier transform (FFT). The process applied to perform these algorithms is supplied in a MATLAB script. Elsevier 2020-02-01 /pmc/articles/PMC7025176/ /pubmed/32090160 http://dx.doi.org/10.1016/j.dib.2020.105239 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Engineering
Fortune, Benjamin C.
Pretty, Christopher G.
Chatfield, Logan T.
McKenzie, Lachlan R.
Hayes, Michael P.
Data captured using low-cost active electromyography
title Data captured using low-cost active electromyography
title_full Data captured using low-cost active electromyography
title_fullStr Data captured using low-cost active electromyography
title_full_unstemmed Data captured using low-cost active electromyography
title_short Data captured using low-cost active electromyography
title_sort data captured using low-cost active electromyography
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025176/
https://www.ncbi.nlm.nih.gov/pubmed/32090160
http://dx.doi.org/10.1016/j.dib.2020.105239
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