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IoT Smart Shoe Solution for Neuromuscular Disease Monitoring

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Pervasive Computing Technologies for Healthcare (PH 2022)

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Abstract

Recent advances in sensing, processing, and learning of physiological parameters, make the development of non-invasive health monitoring systems increasingly effective, especially in those situations that need particular attention to the usability of devices and software solutions due to the frailty of the target population. In this context, we developed a sensorized shoe that detects significant features in subjects’ gait and monitors variations related to an intervention protocol in people affected by Neuromuscular Disorders (NMDs).

This paper outlines the challenges in the field and summarizes the approach used to overcome the technological barriers related to connectivity, deployment, and usability that are typical in a medical setting. The proposed solution adopts the new paradigm offered by Web Bluetooth based on Bluetooth WebSocket.

We show the architectural and deployment choices and how this solution can be easily adapted to different devices and scenarios.

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Notes

  1. 1.

    https://www.w3.org/community/web-bluetooth/.

  2. 2.

    https://rarediseases.org/rare-diseases/facioscapulohumeral-muscular-dystrophy/.

  3. 3.

    http://www.gommus.it.

  4. 4.

    http://www.adatec.it.

  5. 5.

    https://www.chromestatus.com/feature/5264933985976320.

  6. 6.

    https://www.bluetooth.com/blog/the-web-bluetooth-series/.

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Author information

Authors and Affiliations

  1. Institute of Information Science and Technologies, National Council of Research (ISTI-CNR), Pisa, Italy

    Davide La Rosa & Filippo Palumbo

  2. Department of Information Engineering, University of Pisa, Pisa, Italy

    Alessandra Ronca

  3. Institute of Clinical Physiology, National Research Council of Italy (IFC-CNR), Pisa, Italy

    Francesco Sansone & Alessandro Tonacci

  4. Adatec S.r.l., Navacchio, Pisa, Italy

    Mario Tesconi

  5. National Research Council of Italy (CNR), Rome, Italy

    Raffaele Conte

Authors
  1. Davide La Rosa
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  2. Filippo Palumbo
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  3. Alessandra Ronca
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  4. Francesco Sansone
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  5. Mario Tesconi
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  6. Alessandro Tonacci
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  7. Raffaele Conte
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Corresponding author

Correspondence to Filippo Palumbo .

Editor information

Editors and Affiliations

  1. University of Edinburgh, Edinburgh, UK

    Athanasios Tsanas

  2. Centre for Research and Technology Hellas, Thessaloniki, Greece

    Andreas Triantafyllidis

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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La Rosa, D. et al. (2023). IoT Smart Shoe Solution for Neuromuscular Disease Monitoring. In: Tsanas, A., Triantafyllidis, A. (eds) Pervasive Computing Technologies for Healthcare. PH 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-031-34586-9_8

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  • DOI: https://doi.org/10.1007/978-3-031-34586-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34585-2

  • Online ISBN: 978-3-031-34586-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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