Published January 19, 2023 | Version v1
Journal article Open

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

  • 1. University of Bologna, Department of Electrical, Electronic and Information Engineering 'Guglielmo Marconi', Bologna, Italy University of Bologna, Health Sciences and Technologies—Interdepartmental Center for Industrial Research (CIRI-SDV), Bologna, Italy
  • 2. University of Bologna, Health Sciences and Technologies—Interdepartmental Center for Industrial Research (CIRI-SDV), Bologna, Italy
  • 3. The University of Sheffield, INSIGNEO Institute for in silico Medicine, Sheffield, UK The University of Sheffield, Department of Mechanical Engineering, Sheffield, UK
  • 4. Newcastle University, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle, UK
  • 5. University of Sassari, Department of Biomedical Sciences, Sassari, Italy
  • 6. Politecnico di Torino, Department of Electronics and Telecommunications, Torino, Italy Politecnico di Torino, PolitoBIOMed Lab – Biomedical Engineering Lab, Torino, Italy
  • 7. Politecnico di Torino, Department of Electronics and Telecommunications, Torino, Italy
  • 8. Tel Aviv Sourasky Medical Center, Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv-Yafo, Israel
  • 9. Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
  • 10. Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
  • 11. Newcastle University, School of Computing, Newcastle, UK
  • 12. University of Bologna, Department of Electrical, Electronic and Information Engineering 'Guglielmo Marconi', Bologna, Italy
  • 13. Neurogeriatrics Kiel, Department of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany
  • 14. Newcastle University, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle, UK The Newcastle upon Tyne NHS Foundation Trust, Newcastle, UK

Description

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.

Notes

This work was supported by the Mobilise-D project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors' view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.

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Funding

MOBILISE-D – Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement 820820
European Commission