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Vital-sign monitoring on the go

Nature Electronics volume 2, pages 219–220 (2019)Cite this article

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With the help of algorithms for target tracking and removal of random body-movement noise, a radio-frequency sensor can track multiple people and monitor their individual vital signs in a real-world setting.

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Fig. 1: Non-contact tracking of a person’s vital signs and activity using radio-frequency sensors.

References

  1. Mercuri, M. et al. Nat. Electron. https://doi.org/10.1038/s41928-019-0258-6 (2019).

  2. Hong, H. et al. Sensors 16, 1181 (2016).

    Article  Google Scholar 

  3. Kao, T. J., Yan, Y., Shen, T., Chen, A. Y. & Lin, J. IEEE Trans. Microw. Theory Tech. 61, 1649–1659 (2013).

    Article  Google Scholar 

  4. Amin, M. G., Zhang, Y. D., Ahmad, F. & Ho, K. C. D. IEEE Signal Process. Mag. 33, 71–80 (2016).

    Article  Google Scholar 

  5. Wang, J. & Li, C. 40th Int. Conf. IEEE Eng. Med. Biol. Soc. (EMBC) https://doi.org/10.1109/EMBC.2018.8513392 (2018).

  6. Mercuri, M. et al. IEEE Trans. Microw. Theory Tech. 61, 2061–2068 (2013).

    Article  Google Scholar 

  7. Wang, G., Muñoz-Ferreras, J., Gu, C., Li, C. & Gómez-García, R. IEEE Trans. Microw. Theory Tech. 62, 1387–1399 (2014).

    Article  Google Scholar 

  8. Li, C. & Lin, J. IEEE Trans. Microw. Theory Tech. 56, 3143–3152 (2008).

    Article  Google Scholar 

  9. Singh, A. & Lubecke, V. M. IEEE Sens. J. 12, 558–565 (2012).

    Article  Google Scholar 

  10. Chioukh, L., Boutayeb, H., Deslandes, D. & Wu, K. IEEE Trans. Microw. Theory Tech. 62, 1847–1855 (2014).

    Article  Google Scholar 

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Authors and Affiliations

  1. Texas Tech University, Lubbock, TX, USA

    Changzhi Li

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  1. Changzhi Li
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Correspondence to Changzhi Li.

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Li, C. Vital-sign monitoring on the go. Nat Electron 2, 219–220 (2019). https://doi.org/10.1038/s41928-019-0260-z

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