Mobilise-D
Published January 18, 2023 | Version v1
Dataset Open

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Creators

  • 1. Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
  • 2. Department of Mechanical Engineering and Insigneo Institute for in silico Medicine, The University of Sheffield, Sheffield, UK
  • 3. Laboratory of Movement Analysis and Measurement, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
  • 4. Machine Learning and Data Analytics Lab, Friedrich-AlexanderUniversität Erlangen-Nurnberg (FAU), Erlangen, Germany
  • 5. Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
  • 6. Department of Biomedical Sciences, University of Sassari, Sassari, Italy
  • 7. Robert Bosch Gesellschaft für Medizinische Forschung, Stuttgart, Germany
  • 8. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy
  • 9. Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
  • 10. School of Computing, Newcastle University, Newcastle upon Tyne, UK
  • 11. Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
  • 12. Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland
  • 13. Department of Electrical, Electronic and Information Engineering «Guglielmo Marconi», University of Bologna, Bologna, Italy
  • 14. Grünenthal GmbH, Aachen, Germany
  • 15. Department of Neurology, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany
  • 16. Department of Sport, Exercise and Rehabilitation, Northumbria University Newcastle, Newcastle upon Tyne, UK
  • 17. Novartis Institutes of Biomedical Research, Novartis Pharma AG, Basel, Switzerland
  • 18. McRoberts BV, The Hague, Netherlands
  • 19. Department of Neuroscience and Sheffield NIHR Translational Neuroscience BRC, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
  • 20. Digital Health R&D, AstraZeneca, Sweden
  • 21. Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway

Description

Dataset includes 2.5 hours real-world data, for one participant from each of the technical validation study cohorts: ongestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), healthy adult (HA), multiple sclerosis (MS), Parkinson’s (PD) and proximal femoral facture (PFF) linked to the manuscript entitled ‘Assessing real-world gait with digital technology? Validation, insights, and recommendations from the Mobilise-D consortium’.  The attached documentation has 6 datasets and a README document.

The MOBILISE-D project 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 on this publication reflects the author’s 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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Additional details

Funding

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