TY - JOUR
T1 - Mobility recorded by wearable devices and gold standards
T2 - the Mobilise-D procedure for data standardization
AU - Palmerini, Luca
AU - Reggi, Luca
AU - Bonci, Tecla
AU - Del Din, Silvia
AU - Micó-Amigo, M. Encarna
AU - Salis, Francesca
AU - Bertuletti, Stefano
AU - Caruso, Marco
AU - Cereatti, Andrea
AU - Gazit, Eran
AU - Paraschiv-Ionescu, Anisoara
AU - Soltani, Abolfazl
AU - Kluge, Felix
AU - Küderle, Arne
AU - Ullrich, Martin
AU - Kirk, Cameron
AU - Hiden, Hugo
AU - D'Ascanio, Ilaria
AU - Hansen, Clint
AU - Rochester, Lynn
AU - Mazzà, Claudia
AU - Chiari, Lorenzo
N1 - © 2023. The Author(s).
PY - 2023/1/19
Y1 - 2023/1/19
N2 - 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.
AB - 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.
U2 - 10.1038/s41597-023-01930-9
DO - 10.1038/s41597-023-01930-9
M3 - Article
C2 - 36658136
SN - 2052-4463
VL - 10
JO - Scientific Data
JF - Scientific Data
M1 - 38
ER -