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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7025176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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