Smart Wearable Technologies for Balance Rehabilitation in Older Adults at Risk of Falls: Scoping Review and Comparative Analysis.

Journal: JMIR rehabilitation and assistive technologies
Published Date: May 28, 2025

Abstract

BACKGROUND: Falls among older adults are a significant public health concern, often leading to severe injuries, decreased quality of life, and substantial health care costs. Smart wearable technologies for balance rehabilitation present a promising avenue for addressing the falls epidemic, capable of providing detailed objective movement data, engaging visuals, and real-time feedback. With the recent and rapid evolution of innovative technologies, including artificial intelligence (AI), augmented reality (AR) or virtual reality (VR), and motion tracking, there is a need to evaluate the market to identify the most effective and accessible smart balance systems currently available.

Authors

  • Brooke Nairn
    Faculty of Brain Sciences, The Ear Institute, University College London, 332 Gray's Inn Road, London, WC1X 8EE, United Kingdom, 44 07538640838.
  • Vassilios Tsakanikas
    Department of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece.
  • Becky Gordon
    Biomedical Engineering, University College London, London, United Kingdom.
  • Efterpi Karapintzou
    Department of Materials Science and Engineering, Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece.
  • Diego Kaski
    Department of Neuro-otology, Royal National Ear Nose and Throat and Eastman Dental Hospital, University College London Hospitals, London, United Kingdom.
  • Dimitrios I Fotiadis
    Biomedical Research Institute, Foundation for Research and Technology Hellas, Greece; Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, Greece.
  • Doris-Eva Bamiou
    Faculty of Brain Sciences, The Ear Institute, University College London, 332 Gray's Inn Road, London, WC1X 8EE, United Kingdom, 44 07538640838.

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