Published October 11, 2022 | Version 1.0.0
Dataset Open

Example subjects for Mobilise-D data standardization

  • 1. University of Bologna, Department of Electrical, Electronic and Information Engineering 'Guglielmo Marconi', Italy. University of Bologna, Health Sciences and Technologies—Interdepartmental Center for Industrial Research (CIRI-SDV), Italy
  • 2. University of Bologna, Health Sciences and Technologies—Interdepartmental Center for Industrial Research (CIRI-SDV), Italy
  • 3. The University of Sheffield, INSIGNEO Institute for in silico Medicine, UK. The University of Sheffield, Department of Mechanical Engineering, UK
  • 4. Newcastle University, Translational and Clinical Research Institute, Faculty of Medical Sciences, UK.
  • 5. University of Sassari, Department of Biomedical Sciences, Italy.
  • 6. Politecnico di Torino, Department of Electronics and Telecommunications, Italy. Politecnico di Torino, PolitoBIOMed Lab – Biomedical Engineering Lab, Italy.
  • 7. Politecnico di Torino, Department of Electronics and Telecommunications, Italy.
  • 8. Tel Aviv Sourasky Medical Center, Center for the Study of Movement, Cognition and Mobility, Neurological Institute, 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, Germany.
  • 11. Newcastle University, School of Computing, UK.
  • 12. University of Bologna, Department of Electrical, Electronic and Information Engineering 'Guglielmo Marconi', Italy.
  • 13. Neurogeriatrics Kiel, Department of Neurology, University Hospital Schleswig-Holstein, Germany.
  • 14. Newcastle University, Translational and Clinical Research Institute, Faculty of Medical Sciences, UK. The Newcastle upon Tyne NHS Foundation Trust, UK.
  • 15. https://www.mobilise-d.eu/partners

Description

Standardized data from Mobilise-D participants (YAR dataset) and pre-existing datasets (ICICLE, MSIPC2, Gait in Lab and real-life settings, MS project, UNISS-UNIGE) are provided in the shared folder, as an example of the procedures proposed in the publication "Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization" that is currently under review in Scientific data. Please refer to that publication for further information. Please cite that publication if using these data.  

The code to standardize an example subject (for the ICICLE dataset) and to open the standardized Matlab files in other languages (Python, R) is available in github (https://github.com/luca-palmerini/Procedure-wearable-data-standardization-Mobilise-D).

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.

Files

Example Subjects Mobilise-D.zip

Files (3.8 GB)

Name Size Download all
md5:0d978e713d38d8b8b680483fa43223c8
3.8 GB Preview Download

Additional details

Funding

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