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Graphene e-tattoos for unobstructive ambulatory electrodermal activity sensing on the palm enabled by heterogeneous serpentine ribbons

Author

Listed:
  • Hongwoo Jang

    (The University of Texas at Austin)

  • Kaan Sel

    (Department of Electrical and Computer Engineering at Texas A&M University)

  • Eunbin Kim

    (The University of Texas at Austin)

  • Sangjun Kim

    (The University of Texas at Austin)

  • Xiangxing Yang

    (The University of Texas at Austin)

  • Seungmin Kang

    (The University of Texas at Austin)

  • Kyoung-Ho Ha

    (The University of Texas at Austin)

  • Rebecca Wang

    (The University of Texas at Austin)

  • Yifan Rao

    (The University of Texas at Austin)

  • Roozbeh Jafari

    (Department of Electrical and Computer Engineering at Texas A&M University
    Department of Biomedical Engineering at Texas A&M University
    Department of Computer Science and Engineering at Texas A&M University)

  • Nanshu Lu

    (The University of Texas at Austin
    The University of Texas at Austin
    The University of Texas at Austin
    The University of Texas at Austin)

Abstract

Electrodermal activity (EDA) is a popular index of mental stress. State-of-the-art EDA sensors suffer from obstructiveness on the palm or low signal fidelity off the palm. Our previous invention of sub-micron-thin imperceptible graphene e-tattoos (GET) is ideal for unobstructive EDA sensing on the palm. However, robust electrical connection between ultrathin devices and rigid circuit boards is a long missing component for ambulatory use. To minimize the well-known strain concentration at their interfaces, we propose heterogeneous serpentine ribbons (HSPR), which refer to a GET serpentine partially overlapping with a gold serpentine without added adhesive. A fifty-fold strain reduction in HSPR vs. heterogeneous straight ribbons (HSTR) has been discovered and understood. The combination of HSPR and a soft interlayer between the GET and an EDA wristband enabled ambulatory EDA monitoring on the palm in free-living conditions. A newly developed EDA event selection policy leveraging unbiased selection of phasic events validated our GET EDA sensor against gold standards.

Suggested Citation

  • Hongwoo Jang & Kaan Sel & Eunbin Kim & Sangjun Kim & Xiangxing Yang & Seungmin Kang & Kyoung-Ho Ha & Rebecca Wang & Yifan Rao & Roozbeh Jafari & Nanshu Lu, 2022. "Graphene e-tattoos for unobstructive ambulatory electrodermal activity sensing on the palm enabled by heterogeneous serpentine ribbons," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34406-2
    DOI: 10.1038/s41467-022-34406-2
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    Cited by:

    1. Shuaijian Yang & Jinhao Cheng & Jin Shang & Chen Hang & Jie Qi & Leni Zhong & Qingyan Rao & Lei He & Chenqi Liu & Li Ding & Mingming Zhang & Samit Chakrabarty & Xingyu Jiang, 2023. "Stretchable surface electromyography electrode array patch for tendon location and muscle injury prevention," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    2. Sanghyun Lee & Dong Hae Ho & Janghwan Jekal & Soo Young Cho & Young Jin Choi & Saehyuck Oh & Yoon Young Choi & Taeyoon Lee & Kyung-In Jang & Jeong Ho Cho, 2024. "Fabric-based lamina emergent MXene-based electrode for electrophysiological monitoring," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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