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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978350/ https://www.ncbi.nlm.nih.gov/pubmed/31974376 http://dx.doi.org/10.1038/s41467-020-14311-2 |
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author | 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. |
author_facet | 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. |
author_sort | Lin, Rongzhou |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6978350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69783502020-01-27 Wireless battery-free body sensor networks using near-field-enabled clothing 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. Nat Commun Article 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. Nature Publishing Group UK 2020-01-23 /pmc/articles/PMC6978350/ /pubmed/31974376 http://dx.doi.org/10.1038/s41467-020-14311-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article 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. Wireless battery-free body sensor networks using near-field-enabled clothing |
title | Wireless battery-free body sensor networks using near-field-enabled clothing |
title_full | Wireless battery-free body sensor networks using near-field-enabled clothing |
title_fullStr | Wireless battery-free body sensor networks using near-field-enabled clothing |
title_full_unstemmed | Wireless battery-free body sensor networks using near-field-enabled clothing |
title_short | Wireless battery-free body sensor networks using near-field-enabled clothing |
title_sort | wireless battery-free body sensor networks using near-field-enabled clothing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978350/ https://www.ncbi.nlm.nih.gov/pubmed/31974376 http://dx.doi.org/10.1038/s41467-020-14311-2 |
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