Data captured using low-cost active electromyography

Benjamin C Fortune; Christopher G Pretty; Logan T Chatfield; Lachlan R McKenzie; Michael P Hayes

doi:10.1016/j.dib.2020.105239

Data captured using low-cost active electromyography

Data Brief. 2020 Feb 1:29:105239. doi: 10.1016/j.dib.2020.105239. eCollection 2020 Apr.

Authors

Benjamin C Fortune¹, Christopher G Pretty¹, Logan T Chatfield¹, Lachlan R McKenzie¹, Michael P Hayes²

Affiliations

¹ Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand.
² Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand.

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.

Keywords: Bar electrodes; Bio-instrumentation; Bio-sensing; EMG; Rehabilitation; Right leg driver; sEMG.