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Validity of accelerometry in step detection and gait speed measurement in orthogeriatric patients

Author

Listed:
  • Alexander M Keppler
  • Timur Nuritidinow
  • Arne Mueller
  • Holger Hoefling
  • Matthias Schieker
  • Ieuan Clay
  • Wolfgang Böcker
  • Julian Fürmetz

Abstract

Background: Mobile accelerometry is a powerful and promising option to capture long-term changes in gait in both clinical and real-world scenarios. Increasingly, gait parameters have demonstrated their value as clinical outcome parameters, but validation of these parameters in elderly patients is still limited. Objective: The aim of this study was to implement a validation framework appropriate for elderly patients and representative of real-world settings, and to use this framework to test and improve algorithms for mobile accelerometry data in an orthogeriatric population. Methods: Twenty elderly subjects wearing a 3D-accelerometer completed a parcours imitating a real-world scenario. High-definition video and mobile reference speed capture served to validate different algorithms. Results: Particularly at slow gait speeds, relevant improvements in accuracy have been achieved. Compared to the reference the deviation was less than 1% in step detection and less than 0.05 m/s in gait speed measurements, even for slow walking subjects (

Suggested Citation

  • Alexander M Keppler & Timur Nuritidinow & Arne Mueller & Holger Hoefling & Matthias Schieker & Ieuan Clay & Wolfgang Böcker & Julian Fürmetz, 2019. "Validity of accelerometry in step detection and gait speed measurement in orthogeriatric patients," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-11, August.
    • Handle: RePEc:plo:pone00:0221732
    DOI: 10.1371/journal.pone.0221732
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    Cited by:

    1. Anna K Stuck & Madeleine Bachmann & Pia Füllemann & Karen R Josephson & Andreas E Stuck, 2020. "Effect of testing procedures on gait speed measurement: A systematic review," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-14, June.

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