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A non-printed integrated-circuit textile for wireless theranostics

Medicine and Health

A non-printed integrated-circuit textile for wireless theranostics

Y. Yang, X. Wei, et al.

Discover the groundbreaking non-printed integrated-circuit textile (NIT), a marvel for biomedical applications, created through an innovative weaving method by Yuxin Yang and colleagues. This deformable textile integrates multiple functionalities, including health monitoring, energy harvesting, and emergency response. Experience the future of personal AI healthcare systems with this self-powered solution.... show more
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.
Publisher
NATURE COMMUNICATIONS
Published On
Aug 12, 2021
Authors
Yuxin Yang, Xiaofei Wei, Nannan Zhang, Juanjuan Zheng, Xing Chen, Qian Wen, Xinxin Luo, Chong-Yew Lee, Xiaohong Liu, Xingcai Zhang, Jun Chen, Changyuan Tao, Wei Zhang, Xing Fan
Tags
integrated-circuit textile
biomedical applications
health monitoring
energy harvesting
wearable technology
self-powered devices
smart textiles
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