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Real-world gait detection using a wrist-worn inertial sensor: validation study

Lookup NU author(s): Dr Cameron KirkORCiD, Dr Philip Brown, Dr Carlos EchevarriaORCiD, 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): Kluge F, Brand YE, Micó-Amigo E, Bertuletti S, D'Ascanio I, Gazit E, Bonci T, Kirk C, Küderle A, Palmerini L, Paraschiv-Ionescu A, Salis F, Soltani A, Ullrich M, Alcock A, Aminian K, Becker C, Brown P, Buekers J, Carsin A, Caruso M, Caulfield B, Cereatti A, Chiari L, Echevarria C, Eskofier BM, Evers J, Garcia-Aymerich J, Hache T, Hansen C, Hausdorff JM, Hiden H, Hume E, Keogh A, Koch A, Maetzler W, Megaritis D, Niessen M, Perlman O, Schwickert L, Scott K, Sharrack B, Singleton D, Vereijken B, Vogiatzis I, Yarnall AJ, Rochester L, Mazzà C, Del Din S, Mueller A

Publication type: Article

Publication status: Published

Journal: JMIR Formative Research

Year: 2024

Volume: 8

Online publication date: 01/05/2024

Acceptance date: 21/12/2023

Date deposited: 15/05/2024

ISSN (electronic): 2561-326X

Publisher: JMIR Publications

URL: https://doi.org/10.2196/50035

DOI: 10.2196/50035

Data Access Statement: Example data sets generated and analyzed during this study are available in the Zenodo repository [https://doi.org/10.5281/zenodo.7185429]. The full data set will be made available by the Mobilise-D consortium by June 2024.

PubMed id: 38691395

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