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

Lookup NU author(s): Dr Encarna Mico Amigo, Dr Cameron KirkORCiD, Dr Lisa AlcockORCiD, Dr Philip Brown, Dr Alma CantuORCiD, Dr Sara Johansson Fernstad, Dr Hugo Hiden, Dr Kirsty ScottORCiD, Professor Alison Yarnall, Professor Lynn RochesterORCiD, Dr Silvia Del DinORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

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Author(s): Micó-Amigo ME, Bonci T, Paraschiv-Ionescu A, Ullrich M, Kirk C, Soltani A, Küderle A, Gazit E, Salis F, Alcock L, Aminian K, Becker C, Bertuletti S, Brown P, Buckley E, Cantu A, Carsin A, Caruso M, Caulfield B, Cereatti A, Chiari L, D'Ascanio I, Eskofier B, Fernstad S, Froehlich M, Garcia-Aymerich J, Hansen C, Hausdorff JM, Hiden H, Hume E, Keogh A, Kluge F, Koch S, Maetzler W, Megaritis D, Mueller A, Niessen M, Palmerini L, Schwickert L, Scott K, Sharrack B, Sillén H, Singleton D, Vereijken B, Vogiatzis I, Yarnall AJ, Rochester L, Mazzà C, Del Din S, Mobilise-D consortium

Publication type: Article

Publication status: Published

Journal: Journal of NeuroEngineering and Rehabilitation

Year: 2023

Volume: 20

Online publication date: 14/06/2023

Acceptance date: 26/05/2023

Date deposited: 14/06/2023

ISSN (electronic): 1743-0003

Publisher: BioMed Central Ltd.

URL: https://doi.org/10.1186/s12984-023-01198-5

DOI: 10.1186/s12984-023-01198-5

Data Access Statement: Representative data from the dataset and recommended algorithms presented in this study can be found on online repositories: Data can be found on Zenodo, https://doi.org/10.5281/zenodo.7547125. Algorithms can be found on GitHub, https://doi.org/10.5281/zenodo.7575872.

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