Wireless battery-free body sensor networks using near-field-enabled clothing

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 appro...

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Bibliographic Details
Published in:	Nature communications 2020-01, Vol.11 (1), p.444-444, Article 444
Main Authors:	Lin, Rongzhou, Kim, Han-Joon, Achavananthadith, Sippanat, Kurt, Selman A, Tan, Shawn C C, Yao, Haicheng, Tee, Benjamin C K, Lee, Jason K W, Ho, John S
Format:	Article
Language:	eng
Subjects:	Body area networks Electric Power Supplies Electromagnetic Phenomena Equipment Design Exercise - physiology Gait Humans Interfaces Knee Man-machine interfaces Monitoring, Ambulatory - instrumentation Monitoring, Ambulatory - methods Near field communication Posture Posture - physiology Sensors Sewing Spine - physiology Sports Temperature Walking - physiology Wireless communications Wireless networks Wireless Technology - instrumentation
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Summary:	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.
ISSN:	2041-1723 2041-1723