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Design and Construction of a Wearable Tool for Fall-Risk Detection in Telerehabilitation

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Book cover Telerehabilitation

Part of the book series: Health Informatics ((HI))

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Abstract

Telerehabilitation services represent a promising option for patients undergoing home-based rehabilitation as a result of stroke or other pathologies. To facilitate recovery following stroke, prompt and constant neural and motion rehabilitation is essential. When a patient returns home after treatment, he or she may experience a high degree of imbalance. It can be challenging to remotely assess fall-risk in the home. This chapter describes a promising new telerehabilitation-based approach to fall-risk detection via a wearable tool, integrated to a global system for mobile communication (GSM) net. The technology is based upon an inertial measurement unit and two medical protocols (i.e., a sit-to-stand clinical application and a posturography clinical application). The approach incorporates a 4-point fall-risk score: 1, no fall- risk to 4, major fall-risk.

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Acknowledgement

This work was funded by the Istituto Superiore di Sanità (The Italian NIH) in the 3-year long (2006–2008) program entitled “Design and Construction of Innovative Wearable Systems for the Monitoring of Kinematic Parameters.” No competing financial conflicts exist.

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Authors and Affiliations

  1. Technology and Health Department, The Italian National Institute of Health, Via Regina Elena 299, Rome, 00161, Italy

    Daniele Giansanti, Paco Dionisio & Giovanni Maccioni

Authors
  1. Daniele Giansanti
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  2. Paco Dionisio
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  3. Giovanni Maccioni
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Corresponding author

Correspondence to Daniele Giansanti .

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Editors and Affiliations

  1. , UT Health Science Center, University of Tennessee, 920 Madison Avenue, Suite 518 6035, Memphis, 38163, Tennessee, USA

    Sajeesh Kumar

  2. , School of Health and Rehabilitation Scie, University of Pittsburgh, 4033 Forbes Tower, Atwood and Sennott Streets, Pittsburgh, 15217, USA

    Ellen R. Cohn

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© 2013 Springer-Verlag London

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Giansanti, D., Dionisio, P., Maccioni, G. (2013). Design and Construction of a Wearable Tool for Fall-Risk Detection in Telerehabilitation. In: Kumar, S., Cohn, E. (eds) Telerehabilitation. Health Informatics. Springer, London. https://doi.org/10.1007/978-1-4471-4198-3_18

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  • DOI: https://doi.org/10.1007/978-1-4471-4198-3_18

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4197-6

  • Online ISBN: 978-1-4471-4198-3

  • eBook Packages: MedicineMedicine (R0)

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