Scientific Data (Jan 2023)

Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization

  • Luca Palmerini,
  • Luca Reggi,
  • Tecla Bonci,
  • Silvia Del Din,
  • M. Encarna Micó-Amigo,
  • Francesca Salis,
  • Stefano Bertuletti,
  • Marco Caruso,
  • Andrea Cereatti,
  • Eran Gazit,
  • Anisoara Paraschiv-Ionescu,
  • Abolfazl Soltani,
  • Felix Kluge,
  • Arne Küderle,
  • Martin Ullrich,
  • Cameron Kirk,
  • Hugo Hiden,
  • Ilaria D’Ascanio,
  • Clint Hansen,
  • Lynn Rochester,
  • Claudia Mazzà,
  • Lorenzo Chiari

DOI
https://doi.org/10.1038/s41597-023-01930-9
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 13

Abstract

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Abstract Wearable devices are used in movement analysis and physical activity research to extract clinically relevant information about an individual’s mobility. Still, heterogeneity in protocols, sensor characteristics, data formats, and gold standards represent a barrier for data sharing, reproducibility, and external validation. In this study, we aim at providing an example of how movement data (from the real-world and the laboratory) recorded from different wearables and gold standard technologies can be organized, integrated, and stored. We leveraged on our experience from a large multi-centric study (Mobilise-D) to provide guidelines that can prove useful to access, understand, and re-use the data that will be made available from the study. These guidelines highlight the encountered challenges and the adopted solutions with the final aim of supporting standardization and integration of data in other studies and, in turn, to increase and facilitate comparison of data recorded in the scientific community. We also provide samples of standardized data, so that both the structure of the data and the procedure can be easily understood and reproduced.