4.8 Article

Ultra-conformal skin electrodes with synergistically enhanced conductivity for long-time and low-motion artifact epidermal electrophysiology

Journal

NATURE COMMUNICATIONS
Volume 12, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-021-25152-y

Keywords

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Funding

  1. National Natural Science Foundation of China [22072006, 21903007, 22005036]
  2. Young Thousand Talents Program [110532103]
  3. Beijing Normal University [312232102]
  4. Beijing Municipal Science & Technology Commission [Z191100000819002]
  5. Fundamental Research Funds for the Central Universities [310421109]

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A study introduces an ultra-thin dry epidermal electrode that conforms to the skin, accurately measures electrophysiological signals, and exhibits low sheet resistance, high transparency, and mechano-electrical stability. The enhanced optoelectronic performance is attributed to the synergistic effect between graphene and PEDOT:PSS, allowing for the accurate monitoring of electrophysiological signals in humans with reduced motion artifact interference.
Accurate and imperceptible monitoring of electrophysiological signals is of primary importance for wearable healthcare. Stiff and bulky pregelled electrodes are now commonly used in clinical diagnosis, causing severe discomfort to users for long-time using as well as artifact signals in motion. Here, we report a similar to 100 nm ultra-thin dry epidermal electrode that is able to conformably adhere to skin and accurately measure electrophysiological signals. It showed low sheet resistance (similar to 24 Omega/sq, 4142 S/cm), high transparency, and mechano-electrical stability. The enhanced optoelectronic performance was due to the synergistic effect between graphene and poly (3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS), which induced a high degree of molecular ordering on PEDOT and charge transfer on graphene by strong pi-pi interaction. Together with ultra-thin nature, this dry epidermal electrode is able to accurately monitor electrophysiological signals such as facial skin and brain activity with low-motion artifact, enabling human-machine interfacing and long-time mental/physical health monitoring.

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