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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Vydáno v:Data in brief Ročník 29; s. 105239
Hlavní autoři: Fortune, Benjamin C., Pretty, Christopher G., Chatfield, Logan T., McKenzie, Lachlan R., Hayes, Michael P.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Netherlands Elsevier Inc 01.04.2020
Elsevier
Témata:
algorithms
Bar electrodes
Bio-instrumentation
Bio-sensing
electromyography
EMG
Engineering
Rehabilitation
researchers
Right leg driver
sEMG
supply
surfaces
Right leg driver
Bio-sensing
sEMG
Bar electrodes
Bio-instrumentation
Rehabilitation
EMG
ISSN:2352-3409, 2352-3409
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2020.105239