Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-020-14311-2
Title: Wireless battery-free body sensor networks using near-field-enabled clothing
Authors: Lin R.
Kim H.-J.
Achavananthadith S.
Kurt S.A.
Tan S.C.C.
Yao H.
Tee B.C.K.
Lee J.K.W. 
Ho J.S.
Issue Date: 2020
Publisher: Nature Research
Citation: Lin R., Kim H.-J., Achavananthadith S., Kurt S.A., Tan S.C.C., Yao H., Tee B.C.K., Lee J.K.W., Ho J.S. (2020). Wireless battery-free body sensor networks using near-field-enabled clothing. Nature Communications 11 (1). ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-020-14311-2
Abstract: Networks of sensors placed on the skin can provide continuous measurement of human physiological signals for applications in clinical diagnostics, athletics and human-machine interfaces. Wireless and battery-free sensors are particularly desirable for reliable long-term monitoring, but current approaches for achieving this mode of operation rely on near-field technologies that require close proximity (at most a few centimetres) between each sensor and a wireless readout device. Here, we report near-field-enabled clothing capable of establishing wireless power and data connectivity between multiple distant points around the body to create a network of battery-free sensors interconnected by proximity to functional textile patterns. Using computer-controlled embroidery of conductive threads, we integrate clothing with near-field-responsive patterns that are completely fabric-based and free of fragile silicon components. We demonstrate the utility of the networked system for real-time, multi-node measurement of spinal posture as well as continuous sensing of temperature and gait during exercise. © 2020, The Author(s).
Source Title: Nature Communications
URI: https://scholarbank.nus.edu.sg/handle/10635/177649
ISSN: 20411723
DOI: 10.1038/s41467-020-14311-2
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