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Amphibious epidermal area networks for uninterrupted wireless data and power transfer

Author

Listed:
  • Amirhossein Hajiaghajani

    (University of California)

  • Patrick Rwei

    (University of California)

  • Amir Hosein Afandizadeh Zargari

    (University of California
    University of California)

  • Alberto Ranier Escobar

    (University of California)

  • Fadi Kurdahi

    (University of California
    University of California)

  • Michelle Khine

    (University of California)

  • Peter Tseng

    (University of California
    University of California)

Abstract

The human body exhibits complex, spatially distributed chemo-electro-mechanical processes that must be properly captured for emerging applications in virtual/augmented reality, precision health, activity monitoring, bionics, and more. A key factor in enabling such applications involves the seamless integration of multipurpose wearable sensors across the human body in different environments, spanning from indoor settings to outdoor landscapes. Here, we report a versatile epidermal body area network ecosystem that enables wireless power and data transmission to and from battery-free wearable sensors with continuous functionality from dry to underwater settings. This is achieved through an artificial near field propagation across the chain of biocompatible, magneto-inductive metamaterials in the form of stretchable waterborne skin patches—these are fully compatible with pre-existing consumer electronics. Our approach offers uninterrupted, self-powered communication for human status monitoring in harsh environments where traditional wireless solutions (such as Bluetooth, Wi-Fi or cellular) are unable to communicate reliably.

Suggested Citation

  • Amirhossein Hajiaghajani & Patrick Rwei & Amir Hosein Afandizadeh Zargari & Alberto Ranier Escobar & Fadi Kurdahi & Michelle Khine & Peter Tseng, 2023. "Amphibious epidermal area networks for uninterrupted wireless data and power transfer," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43344-6
    DOI: 10.1038/s41467-023-43344-6
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    References listed on IDEAS

    as
    1. Negar Golestani & Mahta Moghaddam, 2020. "Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    2. Yufei Zhang & Zhihao Huo & Xiandi Wang & Xun Han & Wenqiang Wu & Bensong Wan & Hui Wang & Junyi Zhai & Juan Tao & Caofeng Pan & Zhong Lin Wang, 2020. "High precision epidermal radio frequency antenna via nanofiber network for wireless stretchable multifunction electronics," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    3. Rongzhou Lin & Han-Joon Kim & Sippanat Achavananthadith & Ze Xiong & Jason K. W. Lee & Yong Lin Kong & John S. Ho, 2022. "Digitally-embroidered liquid metal electronic textiles for wearable wireless systems," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    4. Rongzhou Lin & Han-Joon Kim & Sippanat Achavananthadith & Selman A. Kurt & Shawn C. C. Tan & Haicheng Yao & Benjamin C. K. Tee & Jason K. W. Lee & John S. Ho, 2020. "Wireless battery-free body sensor networks using near-field-enabled clothing," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    5. Negar Golestani & Mahta Moghaddam, 2020. "Author Correction: Human activity recognition using magnetic induction-based motion signals and deep recurrent neural networks," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
    6. Faheem Ershad & Anish Thukral & Jiping Yue & Phillip Comeaux & Yuntao Lu & Hyunseok Shim & Kyoseung Sim & Nam-In Kim & Zhoulyu Rao & Ross Guevara & Luis Contreras & Fengjiao Pan & Yongcao Zhang & Ying, 2020. "Ultra-conformal drawn-on-skin electronics for multifunctional motion artifact-free sensing and point-of-care treatment," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
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    Cited by:

    1. Xia Zhu & Ke Wu & Xiaohang Xie & Stephan W. Anderson & Xin Zhang, 2024. "A robust near-field body area network based on coaxially-shielded textile metamaterial," Nature Communications, Nature, vol. 15(1), pages 1-12, December.

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