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:
Engineering
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
Descripción
Sumario: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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