Abstract
Modern IT technologies allow the construction of training systems related to exercising in the field of triage and rescue operation management. In proposed training system we use simulators of vital human signs based on mobile devices. These devices generate the victim’s life cycle pattern, consisting of the values (heartbeats and respiratory rates, systolic and diastolic blood pressure, and capillary refill time) used as the basis for TRIAGE categorization.
The use of specially programmed smartphones as simulators was a temporary solution that facilitated system startup. Currently, these simulators are implemented on the basis of the ESP32 chip, which enables the connection of many types of environmental sensors. In the paper we will present new version of the victim simulator based on the ESP32 system on chip (SoC), and new functionalities such as heart rate monitoring and casualties positioning.
In the proposal presented in this work, a hybrid Wi-Fi/BLE positioning system is used to have a coarse positioning with the first technology, which has a longer range, and a finer positioning with the second, which has a shorter range.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Al-Elq, A.H.: Simulation-based medical teaching and learning. J. Fam. Community Med. 17(1), 35–40 (2010). https://doi.org/10.4103/1319-1683.68787
Ayaz, O., Ismail, F.W.: Healthcare simulation: a key to the future of medical education - a review. Adv. Med. Educ. Pract. 13, 301–308 (2022). https://doi.org/10.2147/AMEP.S353777
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
de Blasio, G., Rodríguez-Rodríguez, J.C., García, C.R., Quesada-Arencibia, A.: Beacon-related parameters of Bluetooth low energy: development of a semi-automatic system to study their impact on indoor positioning systems. Sensors 19(14), 3087 (2019)
de Blasio, G., Quesada-Arencibia, A., García, C.R., Molina-Gil, J.M., Caballero-Gil, C.: Study on an indoor positioning system for harsh environments based on Wi-Fi and Bluetooth low energy. Sensors 17(6), 1299 (2017)
Czekajlo, M.: Medical simulation as a professional tool influencing patient safety used in the teaching process. Merkur Lekarski XXXVII, pp. 360–363 (2015)
Friedl, K.E., O’Neil, H.F.: Designing and using computer simulations in medical education and training: an introduction. Mil. Med. 178(10 Suppl.), 1–6 (2013). https://doi.org/10.7205/MILMED-D-13-00209
Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of wireless indoor positioning techniques and systems. IEEE Trans. Syst. Man. Cybern. Part C (Appl. Rev.) 37(6), 1067–1080 (2007). https://doi.org/10.1109/TSMCC.2007.905750
Nikodem, J., Nikodem, M., Klempous, R., Gawłowski, P.: Wi-Fi communication and IoT technologies to improve emergency triage training. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds.) DepCoS-RELCOMEX 2020. AISC, vol. 1173, pp. 451–460. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-48256-5_44. ISSN 2194-5357. ISBN: 978-3-030-48255-8; 978-3-030-48256-5
Nikodem, J., Nikodem, M., Gawłowski, P, Klempous, R.: Training system for first response medical emergency groups to guide triage procedures. In: 8th International Workshop on Innovative Simulation for Health Care, IWISH, DIME Universitá di Genova; DIMEG University of Calabria (2019). ISBN: 978-88-85741-36-2; 978-88-85741-35-5. http://toc.proceedings.com/50560webtoc.pdf
Nikodem, M., Bawiec, M.: Experimental evaluation of advertisement-based Bluetooth low energy communication. Sensors 20, 107 (2020)
Nikodem, M., Szeliński, P.: Channel diversity for indoor localization using Bluetooth low energy and extended advertisements. IEEE Access 9, 169261–169269 (2021)
Torres-Sospedra, J., et al.: UJIIndoorLoc: a new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problems. In: 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 261–270 (2014). https://doi.org/10.1109/IPIN.2014.7275492
Debnath, S., Arif, W., Roy, S., Baishya, S., Sen, D.: A comprehensive survey of emergency communication network and management. Wirel. Pers. Commun. 124(2), 1375–1421 (2022)
Saraiva, R., Lovisolo, L.: RF Positioning: Fundamentals, Applications and Tools. Artech House Publishers, Boston (2015)
HM Bluetooth module datasheet, Datasheet V610, JNHuaMao Technology Company (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Nikodem, J., de Blasio, G.S., Gawłowski, P., Klempous, R., Quesada-Arencibia, A. (2022). Indoor Positioning Framework for Training Rescue Operations Procedures at the Site of a Mass Incident or Disaster. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2022. EUROCAST 2022. Lecture Notes in Computer Science, vol 13789. Springer, Cham. https://doi.org/10.1007/978-3-031-25312-6_61
Download citation
DOI: https://doi.org/10.1007/978-3-031-25312-6_61
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-25311-9
Online ISBN: 978-3-031-25312-6
eBook Packages: Computer ScienceComputer Science (R0)