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Real-Time Monitoring of Indoor Healthcare Tracking Using the Internet of Things Based IBeacon

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Online Engineering and Society 4.0 (REV 2021)

Abstract

This research will present the utility of using the Real-Time Monitoring of indoor healthcare tracking utilizing the Internet of Things-Based I-Beacon. According to the fast and widespread COVID-19 contagion globally, the demand for ventilators and PPE materials is very h h to provide safety equipment to healthcare professionals and doctors. The existing Powered Air-Purifying Respirator (PAPR) it’s not designed to COVID-19 and social distance. With the limitations of the current navigation systems such as Global Positioning System (GPS ) in indoor settings (Hospital, Quarantine, etc.), alternative PAPR tracking methods need to developing for such environments. This project aims to design a system that uses Bluetooth for PAPR tracking. Bluetooth Low Energy modules (BLE) serve as beacons, and the hospital will have information about their position. They will continuously advertise this information about the passing doctors. When the PAPR, which is attached to a Bluetooth module, passes by a beacon on the hospital corridors, it will receive the position data and send it directly to the ESP32 circuit. In turn, the ESP32 device will send the data to be the control room. So will add IoT technology in the respirator to guarantee physical distance, healthcare sta tracking, and recording.

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References

  1. Miles LF et al (2020) The design and manufacture of 3D printed adjuncts for powered airpurifying respirators. Anaesth Rep 8(2):84–86. https://doi.org/10.1002/anr3.12055

    Article  Google Scholar 

  2. Holland M et al (2020) COVID-19 Personal Protective Equipment (PPE) for the emergency physician. Vis J Emerg Med 19:100740. https://doi.org/10.1016/j.visj.2020.100740

    Article  Google Scholar 

  3. Ranney ML et al (2020) Critical supply shortages - the need for ventilators and personal protective equipment during the Covid-19 pandemic. N Engl J Med 382(18):e41. https://doi.org/10.1056/NEJMp2006141

    Article  Google Scholar 

  4. Chaari MZ, et al (2020) Use of reverse engineering method for respirator devices in COVID-19 crisis. In: 2020 2nd international conference on electrical, control and instrumentation engineering (ICECIE), pp 1–4. https://doi.org/10.1109/ICECIE50279.2020.9309686

  5. Choi B et al (2020) Persistence and evolution of SARS-CoV-2 in an immunocompromised host. N Engl J Med 383(23):2291–2293. https://doi.org/10.1056/NEJMc2031364

    Article  Google Scholar 

  6. Emanuel EJ et al (2020) Fair allocation of scarce medical resources in the time of Covid-19. N Engl J Med 382(21):2049–2055. https://doi.org/10.1056/NEJMsb2005114

    Article  Google Scholar 

  7. Sohail A, Nutini A (2020) Forecasting the timeframe of 2019-nCoV and human cells interaction with reverse engineering. Prog Biophys Mol Biol 155:29–35. https://doi.org/10.1016/j.pbiomolbio.2020.04.002

    Article  Google Scholar 

  8. Ullah S et al (2020) Reusability comparison of melt-blown vs nanofiber face mask filters for use in the coronavirus pandemic. ACS Appl Nano Mater 3(7):7231–7241. https://doi.org/10.1021/acsanm.0c01562

    Article  Google Scholar 

  9. Wang CJ et al (2020) Response to COVID-19 in Taiwan: big data analytics, new technology, and proactive testing. JAMA 323(14):1341. https://doi.org/10.1001/jama.2020.3151

    Article  Google Scholar 

  10. Yu L et al (2020) Catching and killing of airborne SARS-CoV-2 to control spread of COVID-19 by a heated air disinfection system. Mater Today Phys 15:100249. https://doi.org/10.1016/j.mtphys.2020.100249

    Article  Google Scholar 

  11. Singh H, Pallagani V, Khandelwal V, Venkanna U (2018) IoT based smart home automation system using sensor node. In: 2018 4th international conference on recent advances in information technology (RAIT). IEEE. https://doi.org/10.1109/rait.2018.8389037

  12. Kodali RK, Jain V, Bose S, Boppana L (2016) IoT based smart security and home automation system. In: 2016 international conference on computing, communication and automation (ICCCA). IEEE (2016). https://doi.org/10.1109/ccaa.2016.7813916

  13. Faragher R (2012) Understanding the basis of the Kalman filter via a simple and intuitive derivation [lecture notes]. IEEE Signal Process Mag 29(5):128–132. https://doi.org/10.1109/msp.2012.2203621

    Article  Google Scholar 

  14. Pop MD, Protean O, David TM, Protean G (2020) Hybrid solution combining Kalman filtering with Takagi-Sugeno fuzzy inference system for online car-following model calibration. Sensors 20(19):5539

    Article  Google Scholar 

  15. Lu M, Chen W, Shen X, Lam HC, Liu J (2007) Positioning and tracking construction vehicles in highly dense urban areas and building construction sites. Autom Constr 16(5):647–656. https://doi.org/10.1016/j.autcon.2006.11.001

    Article  Google Scholar 

  16. Bahl P, Padmanabhan V, (2000) RADAR: an in-building RF-based user location and tracking system. In: Proceedings IEEE INFOCOM 2000. Conference on computer communications. nineteenth annual joint conference of the IEEE computer and communications societies (Cat. No.00CH37064). IEEE. https://doi.org/10.1109/infcom.2000.832252

  17. Khalid A, Memon I Bluetooth-based traffic tracking system using ESP32 microcontroller. In: Advances in machine learning and computational intelligence, pp 737–746. Springer

    Google Scholar 

  18. Fujihara A, Yanagisawa T (2015) Proposing an extended iBeacon system for indoor route guidance. In: 2015 international conference on intelligent networking and collaborative systems pp 31–37. IEEE, Taipei (2015). https://doi.org/10.1109/INCoS.2015.72

  19. Giuliano R et al (2020) Indoor localization system based on bluetooth low energy for museum applications. Electronics 9(6):1055. https://doi.org/10.3390/electronics9061055

    Article  Google Scholar 

  20. Goh BS et al (2020) IoT based indoor locating system (ILS) using bluetooth low energy (BLE). In: 2020 IEEE international conference on consumer electronics (ICCE), pp 1–4. IEEE, Las Vegas. https://doi.org/10.1109/ICCE46568.2020.9043108

  21. Misal SR et al (2020) Indoor positioning system (IPS) Using ESP32, MQTT and bluetooth. In: 2020 fourth international conference on computing methodologies and communication (ICCMC), pp 79–82. IEEE, Erode. https://doi.org/10.1109/ICCMC48092.2020.ICCMC-00015

  22. Takahashi C, Kondo K (2015) Indoor positioning method for augmented audio reality navigation systems using iBeacons. In: 2015 IEEE 4th global conference on consumer electronics (GCCE), pp 451–452. IEEE, Osaka. https://doi.org/10.1109/GCCE.2015.7398636

  23. Lin X-Y et al (2015) A mobile indoor positioning system based on iBeacon technology. In: 2015 37th annual international conference of the IEEE engineering in medicine and biology society (EMBC), pp 4970–4973. IEEE, Milan. https://doi.org/10.1109/EMBC.2015.7319507

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Correspondence to Mohamed Zied Chaari .

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Chaari, M.Z., Al-Rahimi, R., Aljaberi, A. (2022). Real-Time Monitoring of Indoor Healthcare Tracking Using the Internet of Things Based IBeacon. In: Auer, M.E., Bhimavaram, K.R., Yue, XG. (eds) Online Engineering and Society 4.0. REV 2021. Lecture Notes in Networks and Systems, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-030-82529-4_32

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