Friedrich-Alexander-Universität Erlangen-Nürnberg - FAU
Published December 11, 2020 | Version v1
Dataset Open

Consensus based framework for digital mobility monitoring

Authors/Creators

  • 1. Machine Learning and Data Analytics Lab, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
  • 2. Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
  • 3. Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
  • 4. Department of Molecular Neurology, University Hospital Erlangen, Erlangen, Germany
  • 5. Department of Neurology, University of Kiel, Kiel, Germany
  • 6. Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
  • 7. Novartis Pharma AG, Basel, Switzerland
  • 8. Department of Mechanical Engineering \& Insigneo Institute for in silico Medicine, The University of Sheffield, Sheffield, UK

Description

With this dataset, we provide the consensus data obtained in an adapted Delphi process to reach agreement on specific terminology related to real-world walking. 

A Delphi method was used to obtain agreed definitions related to real-world walking. In an online survey, 162 participants from a panel of academic, clinical and industrial stakeholders were asked for agreement on previously specified definitions. Descriptive statistics was used to evaluate whether consent was reached. Consensus was obtained in two rounds, whereas three definition were modified in the second round.

Our dataset is the basis for creating a common terminological framework for the implementation of digital and mobile technologies for gait assessment.

Content
We provide two .xlsx files:

  • round1_data.xlsx
  • round2_data.xlsx

The dataset contains the survey results which were implemented on the ILIAS E-learning platform (version 5.4.5, ILIAS open source e-Learning e. V.). Both Excel tables are a direct output from the platform.

Notes

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).

Files

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md5:c8c40d8b2053abd7b897943fa985fb31
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Additional details

Related works

Is cited by
Software: https://github.com/felixkluge/DMO_Consensus (URL)