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Ultraconformal Skin-Interfaced Sensing Platform for Motion Artifact-Free Monitoring

  • Yuyan Gao
  • , Bowen Li
  • , Ling Zhang
  • , Xianzhe Zhang
  • , Xin Xin
  • , Senpei Xie
  • , Ryan Allen Lee
  • , Kang Li
  • , Weiwei Zhao
  • , Huanyu Cheng

Research output: Contribution to journalArticlepeer-review

Abstract

Capable of directly capturing various physiological signals from human skin, skin-interfaced bioelectronics has emerged as a promising option for human health monitoring. However, the accuracy and reliability of the measured signals can be greatly affected by body movements or skin deformations (e.g., stretching, wrinkling, and compression). This study presents an ultraconformal, motion artifact-free, and multifunctional skin bioelectronic sensing platform fabricated by a simple and user-friendly laser patterning approach for sensing high-quality human physiological data. The highly conductive membrane based on the room-temperature coalesced Ag/Cu@Cu core-shell nanoparticles in a mixed solution of polymers can partially dissolve and locally deform in the presence of water to form conformal contact with the skin. The resulting sensors to capture improved electrophysiological signals upon various skin deformations and other biophysical signals provide an effective means to monitor health conditions and create human-machine interfaces. The highly conductive and stretchable membrane can also be used as interconnects to connect commercial off-the-shelf chips to allow extended functionalities, and the proof-of-concept demonstration is highlighted in an integrated pulse oximeter. The easy-to-remove feature of the resulting device with water further allows the device to be applied on delicate skin, such as the infant and elderly.

Original languageEnglish (US)
Pages (from-to)27952-27960
Number of pages9
JournalACS Applied Materials and Interfaces
Volume16
Issue number21
DOIs
StatePublished - May 29 2024

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

All Science Journal Classification (ASJC) codes

  • General Materials Science

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