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Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care

Author

Listed:
  • Lisa Y. Chen

    (Stanford University)

  • Benjamin C. -K. Tee

    (Stanford University)

  • Alex L. Chortos

    (Stanford University)

  • Gregor Schwartz

    (Stanford University)

  • Victor Tse

    (Kaiser Permanente
    Stanford University)

  • Darren J. Lipomi

    (Stanford University)

  • H. -S. Philip Wong

    (Stanford University)

  • Michael V. McConnell

    (Stanford University
    Stanford University)

  • Zhenan Bao

    (Stanford University)

Abstract

Continuous monitoring of internal physiological parameters is essential for critical care patients, but currently can only be practically achieved via tethered solutions. Here we report a wireless, real-time pressure monitoring system with passive, flexible, millimetre-scale sensors, scaled down to unprecedented dimensions of 1 × 1 × 0.1 cubic millimeters. This level of dimensional scaling is enabled by novel sensor design and detection schemes, which overcome the operating frequency limits of traditional strategies and exhibit insensitivity to lossy tissue environments. We demonstrate the use of this system to capture human pulse waveforms wirelessly in real time as well as to monitor in vivo intracranial pressure continuously in proof-of-concept mice studies using sensors down to 2.5 × 2.5 × 0.1 cubic millimeters. We further introduce printable wireless sensor arrays and show their use in real-time spatial pressure mapping. Looking forward, this technology has broader applications in continuous wireless monitoring of multiple physiological parameters for biomedical research and patient care.

Suggested Citation

  • Lisa Y. Chen & Benjamin C. -K. Tee & Alex L. Chortos & Gregor Schwartz & Victor Tse & Darren J. Lipomi & H. -S. Philip Wong & Michael V. McConnell & Zhenan Bao, 2014. "Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical care," Nature Communications, Nature, vol. 5(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6028
    DOI: 10.1038/ncomms6028
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    Cited by:

    1. Shuyun Zhuo & Cheng Song & Qinfeng Rong & Tianyi Zhao & Mingjie Liu, 2022. "Shape and stiffness memory ionogels with programmable pressure-resistance response," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. Rui Chen & Tao Luo & Jincheng Wang & Renpeng Wang & Chen Zhang & Yu Xie & Lifeng Qin & Haimin Yao & Wei Zhou, 2023. "Nonlinearity synergy: An elegant strategy for realizing high-sensitivity and wide-linear-range pressure sensing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    3. Christopher T. Ertsgaard & Minki Kim & Jungwon Choi & Sang-Hyun Oh, 2023. "Wireless dielectrophoresis trapping and remote impedance sensing via resonant wireless power transfer," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    4. Yongjun Xiao & Chao Guo & Qingdong Zeng & Zenggang Xiong & Yunwang Ge & Wenqing Chen & Jun Wan & Bo Wang, 2021. "Electret Nanogenerators for Self-Powered, Flexible Electronic Pianos," Sustainability, MDPI, vol. 13(8), pages 1-10, April.
    5. Bekir Aksoy & Yufei Hao & Giulio Grasso & Krishna Manaswi Digumarti & Vito Cacucciolo & Herbert Shea, 2022. "Shielded soft force sensors," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    6. Jie Li & Fan Zhang & Xiaobin Xia & Kaihang Zhang & Jianhui Wu & Yulu Liu & Chi Zhang & Xinyu Cai & Jiaqi Lu & Liangquan Xu & Rui Wan & Dinku Hazarika & Weipeng Xuan & Jinkai Chen & Zhen Cao & Yubo Li , 2024. "An ultrasensitive multimodal intracranial pressure biotelemetric system enabled by exceptional point and iontronics," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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