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Related Experiment Video

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Data captured using low-cost active electromyography.

Benjamin C Fortune1, Christopher G Pretty1, Logan T Chatfield1

  • 1Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand.

Data in Brief
|February 25, 2020
PubMed
Summary
This summary is machine-generated.

This study provides surface electromyography (sEMG) data from able-bodied subjects, enabling validation of the low-cost POLE sensor. Researchers can use this data and MATLAB scripts for comparative analysis and understanding sEMG frequency content.

Keywords:
Bar electrodesBio-instrumentationBio-sensingEMGRehabilitationRight leg driversEMG

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Signal Processing

Background:

  • Surface electromyography (sEMG) is crucial for analyzing muscle activity.
  • Low-cost sEMG sensors offer potential for wider accessibility in research and clinical applications.
  • Standardized data is needed for validating new sEMG devices.

Purpose of the Study:

  • To provide a dataset of sEMG recordings from the biceps brachii.
  • To validate the performance of the low-cost POLE sEMG sensor.
  • To facilitate comparative analysis for researchers and developers.

Main Methods:

  • sEMG data collected from three able-bodied subjects using the POLE sensor.
  • Recordings captured from the right biceps brachii for 45 seconds per subject.
  • Data analysis included Fast Fourier Transform (FFT) for frequency content evaluation.

Main Results:

  • Provided raw sEMG data files and a sinusoidal waveform for verification.
  • Demonstrated the capability of the POLE sensor for low-cost, low-noise sEMG acquisition.
  • Included a MATLAB script detailing the data processing methodology.

Conclusions:

  • The provided dataset and tools enable validation of the POLE sEMG sensor.
  • This resource supports researchers in comparing their sEMG devices.
  • The study contributes to the advancement of accessible sEMG technology.