Skip to main content

Wi-Fi Communication and IoT Technologies to Improve Emergency Triage Training

  • Conference paper
  • First Online:
Theory and Applications of Dependable Computer Systems (DepCoS-RELCOMEX 2020)

Abstract

The paper presents how Wi-Fi communication and IoT technologies can be used to improve the efficiency of training Emergency Medical Staff in effective emergency triage procedures. To meet training requirements a victim simulator generating vital signs vector, was proposed. Next, the Line of Life, as a time ordered series of vital signs vectors, was created. The Line of Life concept allows to conduct different simulation scenarios corresponding to various severity of injuries modelling real situations of wounded victims. The proposed solution provides an effective communication to organize an appropriate triage and incident command. For wireless on-line communication and immediate feedback at accident site, a Wi-Fi channels and UDP datagrams in IP multicasting mode were proposed. For the purpose of comprehensive debriefing following the training, a client-server architecture was proposed to collect, store and provide triage training data.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Baran, P.: On distributed communications networks. RAND Corporation Papers (1962). https://doi.org/10.7249/P2626

    Article  Google Scholar 

  2. Bazyar, J., Farrokhi, M., Khankeh, H.: Triage systems in mass casualty incidents and disasters: a review study with a worldwide approach. Open Access Maced J. Med. Sci. 7(3), 482–494 (2019). https://doi.org/10.3889/oamjms.2019.119

    Article  Google Scholar 

  3. Cook, D.J., Das, S.K.: Smart Environments. Technologies, Protocols and Applications. Wiley, Hoboken (2005). ISBN 0-471-54448-5

    Google Scholar 

  4. Lerner, E., Schwartz, R., Coule, P., Weinstein, E., Cone, D., Hunt, R., Sasser, S., Liu, J., Nudell, N., Wedmore, I., Hammond, J., Bulger, E., Salomone, J., Sanddal, T., Lord, G., Markenson, D., O’Connor, R.: Mass casualty triage: an evaluation of the data and development of a proposed national guideline. Disaster Med. Public Health Preparedness 2(S1), S25–S34 (2008). https://doi.org/10.1097/DMP.0b013e318182194e

    Article  Google Scholar 

  5. Nikodem, J., Nikodem, M., Gawłowsk, I.P., Klempous, R.: Training system for first response medical emergency groups to guide triage procedures. In: Bruzzone, A.G., et al. (eds) The 8th International Workshop on Innovative Simulation for Health Care, IWISH, pp. 27-33. Rende : DIME Universitá di Genova ; DIMEG University of Calabria (2019). ISBN 978-88-85741-35-5

    Google Scholar 

  6. Niswar, M., Wijaya, A.S., Ridwan, M., Adnan Ilham, A.A., Sadjad, R.S., Vogel, A.: The design of wearable medical device for triaging disaster casualties in developing countries. In: 2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC), pp. 207–212 (2015). https://doi.org/10.1109/ICDIPC.2015.7323030

  7. Sakanushi, K., Hieda, T., Shiraishi, T., Ode, Y., Takeuchi, Y., Imai, M., Higashino, T., Tanaka, H.: Electronic triage system for continuously monitoring casualties at disaster scenes. J. Ambient Intell. Human. Comput. 4, 547–558 (2011). https://doi.org/10.1007/s12652-012-0130-2

    Article  Google Scholar 

  8. Stewart, C., Stewart, M.: Patient-tracking systems in disasters. In: Ciottone, G., et al. (eds.) Ciottone’s Disaster Medicine, pp. 344-350. Elsevier (2016). ISBN 9780323286657, https://doi.org/10.1016/B978-0-323-28665-7.00055-8

    Chapter  Google Scholar 

  9. Android Studio Developer Guides: Wi-Fi. https://developer.android.com/guide/topics/connectivity/wifi-scan

  10. CISCO technology white papers. IP Multicast Technology Overview (2001). https://www.cisco.com/c/en/us/td/docs/ios/solutions_docs/ip_multicast/White_papers/mcst_ovr.html#wp1008683

  11. ESP8266 AT Instruction Set. Version 3.0.2. Espressif Systems (2019). https://www.espressif.com/sites/default/files/documentation/4a-esp8266_at_instruction_set_en.pdf

  12. How IPv4 Multicasting Works. Microsoft Docs (2009). https://docs.microsoft.com/en-us/previous-versions/windows/it-pro/windows-server-2003/cc759719(v=ws.10)?redirectedfrom=MSDN

  13. World Health Organization: Mass casualty management systems : strategies and guidelines for building health sector capacity. World Health Organization, Geneva (2007). ISBN 9789241596053

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jan Nikodem .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Nikodem, J., Nikodem, M., Klempous, R., Gawłowski, P. (2020). Wi-Fi Communication and IoT Technologies to Improve Emergency Triage Training. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Theory and Applications of Dependable Computer Systems. DepCoS-RELCOMEX 2020. Advances in Intelligent Systems and Computing, vol 1173. Springer, Cham. https://doi.org/10.1007/978-3-030-48256-5_44

Download citation

Publish with us

Policies and ethics