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On Architecture of Self-Sustainable Wearable Sensor Node for IoT Healthcare Applications

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Abstract

In healthcare applications, the remote monitoring of moving patients depends on wearable nodes that should be mobile. Thus, wearable nodes should be power mains-disconnected most of the time to enable natural wandering of patients in the area. Thus, easy-to-use models are utilized in a seamless way. From this perspective, it becomes necessary to develop a generation of wearable nodes that are energy self-sustainable with minimal dependency on fixed power sources and also more safe in light of world health organization recommendations. In this paper, a solar energy harvesting technique is proposed to provide a mains power supply for an independent continuous operation of a patient monitoring node in sunny environments. A case study is built experimentally whereas the proposed designed node is architected as a combined node that enables parallel measurements of heart rate, blood oxygen saturation (SpO2), and body temperature. The experimental results show that the wearable node can survive more than 28 h without battery recharging from the mains. While the charging time of the battery from the solar energy harvesting is approximately 2 h.

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References

  1. Huang, H., Zhou, J., et al. (2016). Wearable indoor localisation approach in internet of things. IET Networks, 5(5), 122–126.

    Article  Google Scholar 

  2. Dionisi, A., Marioli, D., Sardini, E., et al. (2016). Autonomous wearable system for vital signs measurement with energy-harvesting module. IEEE Transactions on Instrumentation and Measurement, 65(6), 1423–1434.

    Article  Google Scholar 

  3. Xie, L., Chen, P., Chen, S., Yu, K., & Sun, H. (2019). Low-cost and highly sensitive wearable sensor based on napkin for health monitoring. Sensors, 19, 3427.

    Article  Google Scholar 

  4. Wu, T., Wu, F., Redoute, J.-M., et al. (2017). An autonomous wireless body area network implementation towards IoT connected. IEEE Access, 5, 11413–11422.

    Article  Google Scholar 

  5. Bennett, T. R., Savaglio, C., Lu, D., Massey, H., Wang, X., Wu, J., & Jafari, R. (2014, August). Motionsynthesis toolset (most) a toolset for human motion data synthesis and validation. In Proceedings of the 4th ACM MobiHoc workshop on Pervasive wireless healthcare (pp. 25-30).

  6. Dohr, A., et al. (2010). The internet of things for ambient assisted living. In 7th International conference on information technology: New generations.

  7. Joyia, G. J., et al. (2017). Internet of medical things (IOMT): applications, benefits and future challenges in healthcare domain. Journal of Communications, 12(4), 240–247.

    Google Scholar 

  8. Sonoda, K., Kishida, Y., et al. (2013). Wearable photoplethysmographic sensor system with PSOC microcontroller. International Journal of Intelligent Computing in Medical Sciences, 5(1), 44–55.

    Google Scholar 

  9. Seeger, C., Van Laerhoven, K., & Buchmann, A. (2015). Myhealthassistant: An event-driven middleware for multiple medical applications on a smartphone-mediated body sensor network. IEEE Journal of Biomedical and Health Informatics, 19(2), 752–760.

    Article  Google Scholar 

  10. Magno, M., Salvatore, G. A., Jokic, P., et al. (2019). Self-sustainable smart ring for long-term monitoring of blood oxygenation. IEEE Access, 7, 115400–115408.

    Article  Google Scholar 

  11. Decker, A. (2014). Solar energy harvesting for autonomous field devices. IET Wireless Sensor Systems, 4(1), 1–8.

    Article  Google Scholar 

  12. Mohsen, S., & Zekry, A, et al. (2019). Analog control algorithm-based a photovoltaic energy harvesting system for low-power medical applications. In IEEE 14th international conference computer engineering and systems (ICCES), Cairo, Egypt (pp. 445–449).

  13. Sunitha, K. A., Dixit, S., & Singh, P. (2019). Design and development of a self-powered wearable device for a Tele-medicine application. Wireless Personal Communications. https://doi.org/10.1007/s11277-019-06394-y.

    Article  Google Scholar 

  14. Mohsen, S., Zekry, A., et al. (2020). A self-powered wearable wireless sensor system powered by a hybrid energy harvester for healthcare applications. Wireless Personal Communications. https://doi.org/10.1007/s11277-020-07840-y.

    Article  Google Scholar 

  15. Wijesundara, M., Tapparello, C., Gamage, A., & Gokulan, Y., et al. (2016). Design of a kinetic energy harvester for elephant mounted wireless sensor nodes of jumboNet. In Conference IEEE. global communications (GLOBECOM) (pp. 1–7).

  16. Barker, S., Brennan, D., Wright, N. G., et al. (2011). Piezoelectric-powered wireless sensor system with regenerative transmit mode. IET Wireless Sensor Systems, 1(1), 31–38.

    Article  Google Scholar 

  17. Borges, L. M., Chávez-Santiago, R., Barroca, N., et al. (2015). Radio-frequency energy harvesting for wearable sensors. IET Healthcare Technology Letters, 2(1), 22–27.

    Article  Google Scholar 

  18. Dias, P. C., Morais, F. J. O., de Morais Franca, M. B., et al. (2015). Autonomous multisensor system powered by a solar thermoelectric energy harvester with ultra-low power management circuit. IEEE Transactions on Instrumentation and Measurement, 64, 2918–2925.

    Article  Google Scholar 

  19. Ce-Ce, A., & Xiao-Xia, S. (2015). Wireless sensor network in wind and solar hybrid street lamp application. In Conference Chinese control and decision (CCDC), Qingdao, China (pp. 3335–3339).

  20. Alippi, C., Camplani, R., Galperti, C., & Roveri, M. (2011). A robust, adaptive, solar-powered WSN framework for aquatic environmental monitoring. IEEE Sensors Journal, 11(1), 45–55.

    Article  Google Scholar 

  21. Cao, S., & Li, J. (2017). A survey on ambient energy sources and harvesting methods for structural health monitoring applications. Advances in Mechanical Engineering, 9(4), 1–14.

    Article  Google Scholar 

  22. Wu, F., Rudiger, C., & Yuce, M. R. (2017). Design and feld test of an autonomous IoT WSN platform for environmental monitoring. In Conference international telecommunication networks and applications (ITNAC) (pp. 206–211).

  23. Naveen, K. V., & Manjunath, S. S. (2011). A reliable ultracapacitor based solar energy harvesting system for wireless sensor network enabled intelligent buildings. In Proceedings of the international conference intelligent agent and multi-agent systems (IAMA), Chennai, India (pp. 20–25).

  24. Bader, S., & Oelmann, B. (2013). Short-term energy storage for wireless sensor networks using solar energy harvesting. In IEEE 10th international conference networking, sensing and control (ICNSC) (pp. 71–76).

  25. ESP8266EX (Datasheet). (2018). https://datasheetspdf.com/pdf-file/1447969/EspressifSystems/ESP8266/1.

  26. Maxim Integrated. Human body temperature sensor MAX30205 human body temperature sensor absolute maximum ratings (Datasheet). (2016). https://datasheets.maximintegrated.com/en/ds/MAX30205.pdf. Accessed 20 November 2018.

  27. MAX30100-Pulse Oximeter and Heart-Rate Sensor IC for Wearable Health (Datasheet). https:// datasheets.maximintegrated.com/en/ds/MAX30100.pdf. Accessed 20 August 2019.

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Correspondence to Saeed Mohsen.

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Mohsen, S., Zekry, A., Youssef, K. et al. On Architecture of Self-Sustainable Wearable Sensor Node for IoT Healthcare Applications. Wireless Pers Commun 119, 657–671 (2021). https://doi.org/10.1007/s11277-021-08229-1

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