ElectroMyography Acquisition System Using Graphene-based e-Textiles

Abstract

The research outlined in this paper investigates the use of graphene-based electromyograph (EMG) fabric sensor as a comparable alternative to commercial Ag/AgCl wet electrodes. Our present work encompasses an EMG compression sleeve based on edge-oxidized graphene oxide (EOGO) coated PET fabric, without any post-application reduction processes. EMG measurements carried out on eight test subjects showed better signal to noise ratio (SNR) and amplitude (mV) ratios for the compression sleeve (22 dB), compared to standard Ag/AgCl electrodes (16.959 dB). A detailed method for sensor fabrication, EMG test measurements, and signal processing are discussed. Results from the study indicate the use of graphene-based smart fabrics as a viable alternative to non-reusable Ag/AgCl electrodes for high-quality EMG monitoring.