Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization

Palmerini L, Reggi L, Bonci T, Del Din S, Micó-Amigo ME, Salis F, Bertuletti S, Caruso M, Cereatti A, Gazit E, Paraschiv-Ionescu A, Soltani A, Kluge F, Küderle A, Ullrich M, Kirk C, Hiden H, D’Ascanio I, Hansen C, Rochester L, Mazzà C, Chiari L (2023)

Publication Type: Journal article

Publication year: 2023

Journal

Scientific Data Nature Publishing Group

Book Volume: 10

Article Number: 38

Journal Issue: 1

DOI: 10.1038/s41597-023-01930-9

Abstract

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.

Authors with CRIS profile

Felix Kluge Machine Learning and Data Analytics Lab Arne Küderle Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics) Martin Ullrich Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

Involved external institutions

École Polytechnique Fédérale de Lausanne (EPFL) CH Switzerland (CH) Tel Aviv Sourasky Medical Center / Ichilov Hospital IL Israel (IL) Politecnico di Torino IT Italy (IT) Newcastle University GB United Kingdom (GB) Università degli Studi di Sassari (UNISS) IT Italy (IT) University of Bologna / Università di Bologna IT Italy (IT) University of Sheffield GB United Kingdom (GB) Universitätsklinikum Schleswig-Holstein (UKSH) DE Germany (DE)

How to cite

APA:

Palmerini, L., Reggi, L., Bonci, T., Del Din, S., Micó-Amigo, M.E., Salis, F.,... Chiari, L. (2023). Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization. Scientific Data, 10(1). https://dx.doi.org/10.1038/s41597-023-01930-9

MLA:

Palmerini, Luca, et al. "Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization." Scientific Data 10.1 (2023).

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