Scientific Reports (Jun 2022)

E-textile based modular sEMG suit for large area level of effort analysis

  • Korine A. Ohiri,
  • Connor O. Pyles,
  • Leslie H. Hamilton,
  • Megan M. Baker,
  • Matthew T. McGuire,
  • Eric Q. Nguyen,
  • Luke E. Osborn,
  • Katelyn M. Rossick,
  • Emil G. McDowell,
  • Leah M. Strohsnitter,
  • Luke J. Currano

DOI
https://doi.org/10.1038/s41598-022-13701-4
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 14

Abstract

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Abstract We present a novel design for an e-textile based surface electromyography (sEMG) suit that incorporates stretchable conductive textiles as electrodes and interconnects within an athletic compression garment. The fabrication and assembly approach is a facile combination of laser cutting and heat-press lamination that provides for rapid prototyping of designs in a typical research environment without need for any specialized textile or garment manufacturing equipment. The materials used are robust to wear, resilient to the high strains encountered in clothing, and can be machine laundered. The suit produces sEMG signal quality comparable to conventional adhesive electrodes, but with improved comfort, longevity, and reusability. The embedded electronics provide signal conditioning, amplification, digitization, and processing power to convert the raw EMG signals to a level-of-effort estimation for flexion and extension of the elbow and knee joints. The approach we detail herein is also expected to be extensible to a variety of other electrophysiological sensors.