IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v549y2017i7672d10.1038_549328a.html
   My bibliography  Save this article

Bring on the bodyNET

Author

Listed:
  • Bryant Chu

    (Design Group, Stanford University)

  • William Burnett

    (Stanford University)

  • Jong Won Chung

    (and at Samsung Advanced Institute of Technology, Samsung Electronics)

  • Zhenan Bao

    (Department of Chemical Engineering at Stanford University)

Abstract

Stretchable sensors, circuits and batteries are about to change our relationships with electronics and each other, explain Bryant Chu and colleagues.

Suggested Citation

  • Bryant Chu & William Burnett & Jong Won Chung & Zhenan Bao, 2017. "Bring on the bodyNET," Nature, Nature, vol. 549(7672), pages 328-330, September.
  • Handle: RePEc:nat:nature:v:549:y:2017:i:7672:d:10.1038_549328a
    DOI: 10.1038/549328a
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/549328a
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/549328a?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rui Xu & Gilbert Santiago Cañón Bermúdez & Oleksandr V. Pylypovskyi & Oleksii M. Volkov & Eduardo Sergio Oliveros Mata & Yevhen Zabila & Rico Illing & Pavlo Makushko & Pavel Milkin & Leonid Ionov & Jü, 2022. "Self-healable printed magnetic field sensors using alternating magnetic fields," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Xi Tian & Qihang Zeng & Selman A. Kurt & Renee R. Li & Dat T. Nguyen & Ze Xiong & Zhipeng Li & Xin Yang & Xiao Xiao & Changsheng Wu & Benjamin C. K. Tee & Denys Nikolayev & Christopher J. Charles & Jo, 2023. "Implant-to-implant wireless networking with metamaterial textiles," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. Mahmoud Wagih & Junjie Shi & Menglong Li & Abiodun Komolafe & Thomas Whittaker & Johannes Schneider & Shanmugam Kumar & William Whittow & Steve Beeby, 2024. "Wide-range soft anisotropic thermistor with a direct wireless radio frequency interface," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:549:y:2017:i:7672:d:10.1038_549328a. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.