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Author Spotlight: Epimysial Electrode Fabrication and Testing in ACL Injury Studies
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Low-cost stimulation resistant electromyography.

Lachlan R McKenzie1, Christopher G Pretty1, Benjamin C Fortune1

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

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Summary
This summary is machine-generated.

This study introduces an open-source, low-cost Surface Electromyography (sEMG) device designed to accurately measure muscle signals during electrical stimulation, overcoming common artifact challenges for researchers.

Keywords:
AC couplerBio-sensingBlankingEMGElectrical stimulationRehabilitation

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Rehabilitation Technology

Background:

  • Surface Electromyography (sEMG) is crucial for assessing muscle activity in clinical and research settings.
  • Electrical stimulation can cause significant artifacts in sEMG recordings, compromising data integrity.
  • Existing commercial sEMG devices often lack protection against stimulation artifacts and are not open-source, limiting research flexibility.

Purpose of the Study:

  • To design, test, and validate an open-source, low-cost sEMG system capable of concurrent recording during electrical stimulation.
  • To address the challenges posed by stimulation-induced artifacts in sEMG measurements.
  • To provide an accessible and adaptable sEMG solution for the research community.

Main Methods:

  • Development of a novel open-source sEMG device with artifact reduction capabilities.
  • Concurrent recording of sEMG and muscle bio-potentials during electrical stimulation.
  • Testing the device on human subjects during controlled electrical stimulation protocols.

Main Results:

  • The developed open-source sEMG system successfully recorded volitional sEMG and M-wave signals during 25 Hz constant current stimulation.
  • The design demonstrated robustness against stimulation-induced artifacts without signal saturation.
  • The system proved effective in forearm muscle recordings of able-bodied subjects.

Conclusions:

  • The open-source sEMG design offers a viable, cost-effective solution for researchers needing to record muscle activity during electrical stimulation.
  • This accessible technology can accelerate research in fields relying on concurrent sEMG and stimulation.
  • The validated design overcomes limitations of existing commercial systems, promoting wider adoption and innovation.