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Designing an Indoor Real-Time Location System for Healthcare Facilities

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Mediterranean Forum – Data Science Conference (MeFDATA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1343))

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Abstract

This paper performs a feasibility analysis to find the best-fitting solution in terms of quality/price ratio for designing and developing a Real-Time Location System for Indoor Positioning inside healthcare facilities. In particular, an overall comparison of all the available solutions is done, highlighting pros and cons of each technology (WiFi, RFID, WLAN, Ultra-Wide Band, Bluetooth Low Energy, ZigBee, magnetic fields, infrareds, ultrasounds, computer-vision and Pedestrian Data-Reckoning) for accuracy, price, coverage, infrastructure development and installation, and maintenance. A preliminary scope-review is also produced, which summarizes the obtained outcomes in similar studies. In the results section the proposed system is illustrated via flowcharts and block diagrams, both for off-site and on-site scenarios.

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Author information

Authors and Affiliations

  1. Bachelor’s Degree in Electronic and Telecommunications, University of Florence, Firenze, Italy

    Noemi Falleri

  2. Department of Information Engineering, University of Florence, Firenze, Italy

    Alessio Luschi & Ernesto Iadanza

  3. Azienda Ospedaliero Universitaria Senese, Siena, Italy

    Roberto Gusinu & Filippo Terzaghi

Authors
  1. Noemi Falleri
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  2. Alessio Luschi
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  3. Roberto Gusinu
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  4. Filippo Terzaghi
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  5. Ernesto Iadanza
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Corresponding authors

Correspondence to Noemi Falleri , Alessio Luschi , Roberto Gusinu , Filippo Terzaghi or Ernesto Iadanza .

Editor information

Editors and Affiliations

  1. University Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina

    Jasminka Hasic Telalovic

  2. University of Louisville, Louisville, KY, USA

    Mehmed Kantardzic

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Falleri, N., Luschi, A., Gusinu, R., Terzaghi, F., Iadanza, E. (2021). Designing an Indoor Real-Time Location System for Healthcare Facilities. In: Hasic Telalovic, J., Kantardzic, M. (eds) Mediterranean Forum – Data Science Conference. MeFDATA 2020. Communications in Computer and Information Science, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-72805-2_8

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  • DOI: https://doi.org/10.1007/978-3-030-72805-2_8

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  • Online ISBN: 978-3-030-72805-2

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