Exploring Textile-Based Electrode Materials for Electromyography Smart Garments
Key finding
31 of 40 textile electrode materials showed strong positive correlation with gel electrodes in mean EMG power spectral density (p < 0.001).
Abstract
Introduction: In recent years, electromyography (EMG) has been increasingly studied for wearable applications. Conventional gel electrodes for electrophysiological recordings have limited use in everyday applications such as prosthetic control, or muscular therapy at home. This study investigates the efficacy and feasibility of dry contact electrode materials employed in smart textiles for EMG recordings.
Methods: Dry contact electrode materials were selected and implemented on textile substrates. Using these electrodes, EMG was recorded from the forearm of able-bodied subjects. 25% and 50% isometric maximum voluntary contractions were captured. A comparative investigation was performed against gel electrodes, assessing the effect of material properties on signal fidelity and strength compared.
Results: When isolating for electrode surface area and pressure, 31 of the 40 materials demonstrated strong positive correlations in their mean PSD with gel electrodes (r > 95, p < 0.001). The inclusion of ionic liquids in the material composition, and using raised or flat electrodes, did not demonstrate a significant effect in signal quality.
Conclusions: For EMG dry contact electrodes, comparing the performance against gel electrodes for the application with the selected material is important. Other factors recommended to be studied are electrodes durability and long-term stability.
What this proves at MyantX
Which fabrics can actually read a muscle? This study answers it empirically: of 40 textile electrode materials, 31 correlated strongly with gel electrodes in EMG power spectral density (p<0.001). That materials screen is the evidence behind our Textile EMG modality and its use across prosthetics, sports, AR/VR, and space-health research. It is the shortlist our smart-textile garments are built from.
Cite this paper
Milad Alizadeh-Meghrazi, Emily Lam, Alessandra Schlums, Ladan Eskandarian, Amin Mahnam, Bastien Moineau, Milos R. Popovic. “Exploring Textile-Based Electrode Materials for Electromyography Smart Garments.” Journal of Rehabilitation and Assistive Technologies Engineering, 2022. https://doi.org/10.1177/20556683211061995
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