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Textile-integrated metamaterials for near-field multibody area networks

Abstract

Wearable and implantable sensors can be linked together to create multi-node wireless networks that could be of use in the development of advanced healthcare monitoring technologies. Such body area networks require secure, seamless and versatile communication links that can operate across the complex human body, but they typically suffer from short ranges, low power or the need for direct-connection terminals. Here we show that textile-integrated metamaterials can be used to drive long-distance near-field communication (NFC)-based magneto-inductive waves along and between multiple objects. The metamaterials are built from arrays of discrete, anisotropic magneto-inductive elements, creating a mechanically flexible system capable of battery-free communication among NFC-enabled devices that are placed anywhere close to the network. Our approach offers a secure and on-demand body area network that has the potential for straightforward expansion and can span across different pieces of clothing, objects and people.

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Fig. 1: Design of textile-integrated metamaterials for magneto-inductive wave propagation.
Fig. 2: Wave propagation along complex pathways of magnetic metamaterials.
Fig. 3: Textile-integrated magneto-inductive pathway.
Fig. 4: Flexible, drag-and-drop NFC networks on textiles.
Fig. 5: Multi-transponder and multiBAN communication by textile-integrated waveguides.

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Data availability

The data that support the plots within this paper and other findings of this study are available from the corresponding author upon reasonable request.

Code availability

The code supporting the NFC readout within this paper is available from the corresponding author upon reasonable request.

References

  1. Yuce, M. R. Wearable sensors get connected with plasmons. Nat. Electron. 2, 217–218 (2019).

    Article  Google Scholar 

  2. Kim, J., Campbell, A. S., de Ávila, B. E. F. & Wang, J. Wearable biosensors for healthcare monitoring. Nat. Biotechnol. 37, 389–406 (2019).

    Article  Google Scholar 

  3. Yuce, M. R. Implementation of wireless body area networks for healthcare systems. Sens. Actuator A Phys. 162, 116–129 (2010).

    Article  Google Scholar 

  4. Kim, H., Hirayama, H., Kim, S., Zhang, R. & Choi, J. Review of near-field wireless power and communication for biomedical applications. IEEE Access 5, 21264–21285 (2017).

    Google Scholar 

  5. Ghosh, A., Halder, A. & Dhar, A. S. A variable RF carrier modulation scheme for ultralow power wireless body-area network. IEEE Syst. J. 6, 305–316 (2012).

    Article  Google Scholar 

  6. Niu, S. et al. A wireless body area sensor network based on stretchable passive tags. Nat. Electron. 2, 361–368 (2019).

    Article  Google Scholar 

  7. Wu, T., Wu, F., Redoute, J. M. & Yuce, M. R. An autonomous wireless body area network implementation towards IoT connected healthcare applications. IEEE Access 5, 11413–11422 (2017).

    Google Scholar 

  8. Tian, X. et al. Wireless body sensor networks based on metamaterial textiles. Nat. Electron. 2, 243–251 (2019).

    Article  Google Scholar 

  9. Tian, X., Yang, X. and Ho, J. S. Energy-efficient and secure wireless body sensor networks with metamaterial textiles. In 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) 1–4 (IEEE, 2019). https://doi.org/10.1109/BIOCAS.2019.8919179

  10. La, Q. D. et al. Dense deployment of BLE-based body area networks: a coexistence study. IEEE Trans. Green Commun. Netw. 2, 972–981 (2018).

    Article  Google Scholar 

  11. Kianinejad, A., Chen, Z. N. & Qiu, C. Low-loss spoof surface plasmon slow-wave transmission lines with compact transition and high isolation. IEEE Trans. Microw. Theory Tech. 64, 3078–3086 (2016).

    Article  Google Scholar 

  12. Lin, R. et al. Wireless battery-free body sensor networks using near-field-enabled clothing. Nat. Commun. 11, 444 (2020).

    Article  Google Scholar 

  13. Dautta, M. et al. Wireless Qi-powered, multinodal and multisensory body area network for mobile health. IEEE Internet Things J. 8, 7600–7609 (2020). https://doi.org/10.1109/JIOT.2020.3040713

  14. Xu, L. et al. Characterization and modeling of embroidered NFC coil antennas for wearable applications. IEEE Sens. J. 20, 14501–14513 (2020).

  15. Masuda, Y., Noda, A. & Shinoda, H. Body sensor networks powered by an NFC-coupled smartphone in the pocket. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2018, 5394–5397 (2018).

    Google Scholar 

  16. Mishra, V. & Kiourti, A. Wearable magnetoinductive waveguide for low-loss wireless body area networks. IEEE Trans. Antennas Propag. 69, 2864–2876 (2021).

    Google Scholar 

  17. Huang, P. S. W. NFC antenna for wearable application. US patent US9998182B2 (2018).

  18. Koshiji, F., Fujita, Y. and Koshiji, K. Wireless body area network using magnetically-coupled wearable coils. In 2015 IEEE CPMT Symposium Japan (ICSJ) 208–211 (IEEE, 2015). https://doi.org/10.1109/ICSJ.2015.7357399

  19. Das, D., Maity, S., Chatterjee, B. & Sen, S. Enabling Covert Body Area Network using Electro-Quasistatic Human Body Communication (Springer, 2019).

  20. Zhong, W., Lee, C. K. & Ron Hui, S. Y. General analysis on the use of Tesla’s resonators in domino forms for wireless power transfer. IEEE Trans. Ind. Electron. 60, 261–270 (2013).

    Google Scholar 

  21. Wang, B., Yerazunis, W. & Teo, K. H. Wireless power transfer: metamaterials and array of coupled resonators. Proc. IEEE 101, 1359–1368 (2013).

    Google Scholar 

  22. Stevens, C. J., Chan, C. W. T., Stamatis, K. & Edwards, D. J. Magnetic metamaterials as 1-D data transfer channels: an application for magneto-inductive waves. IEEE Trans. Microw. Theory Tech. 58, 1248–1256 (2010).

    Article  Google Scholar 

  23. Solymar, L. & Shamonina, E. Waves in Metamaterials. https://doi.org/10.1080/00107511003790480 (OUP Oxford, 2009).

  24. Sydoruk, O., Zhuromskyy, O., Shamonina, E. & Solymar, L. Phonon-like dispersion curves of magnetoinductive waves. Appl. Phys. Lett. 87, 072501 (2005).

    Article  Google Scholar 

  25. Syms, R. R. A., Shamonina, E., Kalinin, V. & Solymar, L. A theory of metamaterials based on periodically loaded transmission lines: interaction between magnetoinductive and electromagnetic waves. J. Appl. Phys. 97, 064909 (2005).

    Article  Google Scholar 

  26. Xu, Z., Shi, J., Davis, R. J., Yin, X. & Sievenpiper, D. F. Rainbow trapping with long oscillation lifetimes in gradient magnetoinductive metasurfaces. Phys. Rev. Appl. 12, 024043 (2019).

  27. Stevens, C. J. Magnetoinductive waves and wireless power transfer. IEEE Trans. Power Electron. 30, 6182–6190 (2015).

    Article  Google Scholar 

  28. Huang, S. D., Li, Z. Q. and Li, Y. Transfer efficiency analysis of magnetic resonance wireless power transfer with intermediate resonant coil. J. Appl. Phys. 115, 17A336 (2014).

  29. Zhang, F. et al. Relay effect of wireless power transfer using strongly coupled magnetic resonances. IEEE Trans. Magn. 47, 1478–1481 (2011).

    Google Scholar 

  30. Zhong, W. X., Lee, C. K. & Hui, S. Y. R. Wireless power domino-resonator systems with noncoaxial axes and circular structures. IEEE Trans. Power Electron. 27, 4750–4762 (2012).

    Article  Google Scholar 

  31. Puccetti, G., Reggiani, U. & Sandrolini, L. Experimental analysis of wireless power transmission with spiral resonators. Energies 6, 5887–5896 (2013).

    Article  Google Scholar 

  32. Olenik, S., Lee, H. S. & Güder, F. The future of near-field communication-based wireless sensing. Nat. Rev. Mater. 6, 286–288 (2021). https://doi.org/10.1038/s41578-021-00299-8

  33. Atanasova, G. & Atanasov, N. Small antennas for wearable sensor networks: impact of the electromagnetic properties of the textiles on antenna performance. Sensors 20, 5157 (2020).

    Article  Google Scholar 

  34. Taparugssanagorn, A., Pomalaza-Ráez, C., Tesi, R., Hamalainen, M. & Iinatti, J. Effect of body motion and the type of antenna on the measured UWB channel characteristics in medical applications of wireless body area networks. In 2009 IEEE International Conference on Ultra-Wideband 332–336 (IEEE, 2009).

  35. Fortino, G., Giannantonio, R., Gravina, R., Kuryloski, P. & Jafari, R. Enabling effective programming and flexible management of efficient body sensor network applications. IEEE Trans. Human-Mach. Syst. 43, 115–133 (2013).

    Article  Google Scholar 

  36. Gravina, R., Alinia, P., Ghasemzadeh, H. & Fortino, G. Multi-sensor fusion in body sensor networks: state-of-the-art and research challenges. Inf. Fusion 35, 68–80 (2017).

    Article  Google Scholar 

  37. Arab Hassani, F. et al. Smart materials for smart healthcare—moving from sensors and actuators to self-sustained nanoenergy nanosystems. Smart Mater. Med. 1, 92–124 (2020).

    Google Scholar 

  38. Shamonina, E., Kalinin, V. A., Ringhofer, K. H. & Solymar, L. Magnetoinductive waves in one, two, and three dimensions. J. Appl. Phys. 92, 6252 (2002).

    Article  Google Scholar 

  39. Yue, C. P. & Wong, S. S. On-chip spiral inductors with patterned ground shields for Si-based RF ICs. IEEE J. Solid-State Circuits 33, 743–752 (2003).

  40. Aslanidis, K. and Gunasegaran, V. N. TRF7970A NFC Reader Antenna Multiplexing. Report No. SLOA231 (Texas Instruments, 2016). https://www.ti.com/lit/an/sloa231/sloa231.pdf?ts=1623371911451

  41. Wyatt, J. TRF7960A RFID Multiplexer Example System. Report No. SLOA167 (Texas Instruments, 2012). https://www.ti.com/lit/an/sloa167/sloa167.pdf?ts=1621460422412

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Acknowledgements

This work was supported by faculty startup granted by the University of California, Irvine, and was partially supported by the National Science Foundation through grant CBET-1928326, as well as the CAREER award through ECCS-1942364 received by P.T., and ECCS-2028782 received by F.K.

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Contributions

A.H. and P.T. planned and conceptualized the study. A.H. conducted the theoretical studies and simulations. A.H., A.H.A.Z. and M.D. performed the experiments. A.H.A.Z., A.H. and A.J. developed the hardware. M.D. and F.K. commented on the manuscript. A.H. and P.T. wrote the manuscript.

Corresponding author

Correspondence to Peter Tseng.

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The authors declare no competing interests.

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Peer review information Nature Electronics thanks John Ho and Jeonghyun Kim for their contribution to the peer review of this work.

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Supplementary information

Supplementary Information

Supplementary Figs. 1–14 and Table 1.

Supplementary Video 1

Demonstration of magneto-inductive multiBAN functionality.

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Hajiaghajani, A., Afandizadeh Zargari, A.H., Dautta, M. et al. Textile-integrated metamaterials for near-field multibody area networks. Nat Electron 4, 808–817 (2021). https://doi.org/10.1038/s41928-021-00663-0

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