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

Alexander M Keppler, Timur Nuritidinow, Arne Mueller, Holger Hoefling, Matthias Schieker, Ieuan Clay, Wolfgang Böcker and Julian Fürmetz

PLOS ONE, 2019, vol. 14, issue 8, 1-11

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 (

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0221732

DOI: 10.1371/journal.pone.0221732

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