Data captured using low-cost active electromyography

Type of content
Journal Article
Thesis discipline
Degree name
Publisher
Elsevier BV
Journal Title
Journal ISSN
Volume Title
Language
English
Date
2020
Authors
Fortune, B.C.
Pretty, C.G.
Chatfield, L.T.
McKenzie, L.R.
Hayes, M.P.
Abstract

Abstract: 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.

Description
Citation
Fortune BC, Pretty CG, Chatfield LT, McKenzie LR, Hayes MP (2020). Data captured using low-cost active electromyography. Data in Brief. 105239-105239.
Keywords
sEMG, EMG, Rehabilitation, Right Leg Driver, Bar Electrodes, Bio-sensing, Bio-instrumentation
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Field of Research::11 - Medical and Health Sciences::1103 - Clinical Sciences::110321 - Rehabilitation and Therapy (excl. Physiotherapy)
Fields of Research::32 - Biomedical and clinical sciences::3206 - Medical biotechnology::320602 - Medical biotechnology diagnostics (incl. biosensors)
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