- No file added yet -
Data for paper "Is a wearable sensor based characterisation of gait robust enough to overcome differences between measurement protocols? A multi-centric pragmatic study in patients with Multiple Sclerosis"
dataset
posted on 2020-03-06, 07:50 authored by Lorenza Angelini, Ilaria Carpinella, Davide Cattaneo, Maurizio Ferrarin, Elisa Gervasoni, basil sharrack, David Paling, K P Sivaraman Nair, Claudia MazzaThis repository has been created to support the paper "Is a wearable sensor based characterisation of gait robust enough to overcome differences between measurement protocols? A multi-centric pragmatic study in patients with Multiple Sclerosis".
The excel file includes both demographic and clinical information of each participant (1st worksheet) and the gait outcomes extracted from the wearable sensors for each participant (mean and SD values, 2nd worksheet).
For details email l.angelini@sheffield.ac.uk
Funding
NIHR through the Sheffield Biomedical Research Centre (BRC, grant number IS-BRC-1215-20017)
European Union’s Horizon 2020 research and innovation programme and EFPIA via the Innovative Medicine Initiative 2 (Mobilise-D project, grant number IMI22017-13-7-820820)
UK Engineering and Physical Sciences Research Council (Multisim and MultiSim2 project, grant number EP/K03877X/1 and EP/S032940/1)
Italian Ministry of Health, Ricerca Corrente (grant number GR-2009-1604984)
History
Ethics
- The project has ethical approval and have included the number in the description field
Policy
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The data can be shared openly
Data description
- The file formats are open or commonly used
Methodology, headings and units
- Headings and units are explained in the files
