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Self-Healing and Shear-Stiffening Electrodes for Wearable Biopotential Sensing and Gesture Recognition

  • Chunxue Wan
  • , Zhijie Feng
  • , Yu Gao
  • , Jingxian Yu
  • , Ziyue Wu
  • , Zhen Yang
  • , Sui Mao
  • , Rui Guo
  • , Wenxing Huo
  • , Xian Huang*
  • *Corresponding author for this work
  • Tianjin University
  • CAS - Technical Institute of Physics and Chemistry
  • Tsinghua University
  • Qiantang Science and Technology Innovation Center

Research output: Contribution to journalArticlepeer-review

Abstract

The achievement of flexible skin electrodes for dynamic monitoring of biopotential is one of the challenging issues in flexible electronics due to the interference of large acceleration and heavy sweat that influence the stability of skin-electrode interfaces. This work presents materials and techniques to achieve self-healing and shear-stiffening electrodes and an associated flexible system that can be used for multichannel biopotential measurement on the skin. The electrode that is based on a composite of silver (Ag) flakes, Ag nanowires, and polyborosiloxane offers an electrical conductivity of 9.71 × 104 S/m and a rheological characteristic that ensures stable and fully conformal contact with skin and easy removal under different shear rates. The electrode can maintain its conductivity even after being stretched by more than 60% and becomes self-healed after mechanical damage. The combination of the electrodes with a screen-printed multichannel flexible sensor allows stable monitoring of both static and dynamic electromyography signals, leading to the acquisition of high-quality multilead biopotential signals that can be readily extracted to yield gesture recognition results with over 97.42% accuracy. The conductive self-healing materials and flexible sensors may be utilized in various daily biopotential sensing applications, allowing highly stable dynamic measurement to facilitate artificial intelligence-enabled health condition diagnosis and human-computer interface.

Original languageEnglish
Pages (from-to)5253-5263
Number of pages11
JournalACS Sensors
Volume9
Issue number10
DOIs
Publication statusPublished - 25 Oct 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • EMG
  • biopotential signals
  • dynamic monitoring
  • flexible electronics
  • shear-stiffening electrodes

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