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A Cloud-Assisted Wearable System for Physical Rehabilitation

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ICTs for Improving Patients Rehabilitation Research Techniques (REHAB 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 515))

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Abstract

Wearable smart devices, ubiquitous Internet connectivity, and Cloud-computing are posing traditional health-care system against a disruptive revolution. The integration of Body Sensor Networks (BSN) systems and Cloud-computing technologies can effectively foster the spread of mobile-Health (mHealth) services in real life, such as physical rehabilitation assistance. The continuous remote monitoring of patients during rehabilitation exercises is one of the key aspect to follow the patients at all post-admission stages, to objectively assess their improvements, as well as to significantly reduce many of the costs associated with the whole process. In addition, patients can perform rehabilitation exercises at home and still be monitored - and followed - remotely, with clear benefit in terms of comfort, physical stress, and again economic costs. This paper describes Rehab-aaService, a hardware/software system for physical rehabilitation assistance. It is based on a three-tier architecture involving smart wearable motion sensor nodes, a personal mobile device, and a Cloud-computing infrastructure supported by the BodyCloud framework.

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Acknowledgments

Our thanks to Daniele Parisi and Vincenzo Pirrone for their efforts in implementing BodyCloud and to Fabrizio Granieri and Luigi Salvatore Galluzzi for their support with the Rehab-aaService prototype. This work has been partially supported by the “2007–2013 NOP for Research and Competitiveness for the Convergence Regions (Calabria, Campania, Puglia and Sicilia)” with code PON04a3_00238.

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Authors and Affiliations

  1. Department of Informatics, Modelling, Electronics and Systems, University of Calabria, Rende, Italy

    Giancarlo Fortino & Raffaele Gravina

Authors
  1. Giancarlo Fortino
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  2. Raffaele Gravina
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Correspondence to Raffaele Gravina .

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Editors and Affiliations

  1. King Abdulaziz University, Jeddah, Saudi Arabia

    Habib M. Fardoun

  2. University of Castilla - La Mancha, Albacete, Spain

    Victor M R. Penichet

  3. King Abdulaziz University, Jeddah, Saudi Arabia

    Daniyal M. Alghazzawi

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Fortino, G., Gravina, R. (2015). A Cloud-Assisted Wearable System for Physical Rehabilitation. In: Fardoun, H., R. Penichet, V., Alghazzawi, D. (eds) ICTs for Improving Patients Rehabilitation Research Techniques. REHAB 2014. Communications in Computer and Information Science, vol 515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48645-0_15

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  • DOI: https://doi.org/10.1007/978-3-662-48645-0_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48644-3

  • Online ISBN: 978-3-662-48645-0

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