A non-printed integrated-circuit textile for wireless theranostics
Name
s41467-021-25075-8.pdf
Size
2.09 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Yang, Yuxin
Wei, Xiaofei
Zhang, Nannan
Zheng, Juanjuan
Chen, Xing
Wen, Qian
Luo, Xinxin
Lee, Chong-Yew
Liu, Xiaohong
Zhang, Xingcai
Date Issued
August 2021
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Yang, Yuxin et al. "A non-printed integrated-circuit textile for wireless theranostics." Nature Communications 12 (August 2021): 4876. © 2021 The Author(s)
Version
Final published version
Abstract
While the printed circuit board (PCB) has been widely considered as the building block of integrated electronics, the world is switching to pursue new ways of merging integrated electronic circuits with textiles to create flexible and wearable devices. Herein, as an alternative for PCB, we described a non-printed integrated-circuit textile (NIT) for biomedical and theranostic application via a weaving method. All the devices are built as fibers or interlaced nodes and woven into a deformable textile integrated circuit. Built on an electrochemical gating principle, the fiber-woven-type transistors exhibit superior bending or stretching robustness, and were woven as a textile logical computing module to distinguish different emergencies. A fiber-type sweat sensor was woven with strain and light sensors fibers for simultaneously monitoring body health and the environment. With a photo-rechargeable energy textile based on a detailed power consumption analysis, the woven circuit textile is completely self-powered and capable of both wireless biomedical monitoring and early warning. The NIT could be used as a 24/7 private AI “nurse” for routine healthcare, diabetes monitoring, or emergencies such as hypoglycemia, metabolic alkalosis, and even COVID-19 patient care, a potential future on-body AI hardware and possibly a forerunner to fabric-like computers.
MIT Department
Massachusetts Institute of Technology. School of Engineering
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/s41467-021-25075-8
