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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Published inNature communications Vol. 11; no. 1; p. 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 Journal Article
LanguageEnglish
Published England Nature Publishing Group 23.01.2020
Nature Publishing Group UK
Nature Portfolio
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.
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ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-020-14311-2