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

Lookup NU author(s): Dr Encarna Mico Amigo, Dr Cameron KirkORCiD, Dr Lisa AlcockORCiD, Philip Brown, Dr Carlos EchevarriaORCiD, Dr Hugo Hiden, Professor Alison Yarnall, Professor Lynn RochesterORCiD, Dr Silvia Del DinORCiD

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Author(s): Kluge F, Brand YE, Mico-Amigo E, Bertuletti S, Gazit E, Bonci T, Kirk C, Kuderle A, Palmerini L, Paraschiv-Ionescu A, Salis F, Soltani A, Ullrich M, Alcock L, Arminian K, Becker C, Brown P, Buekers J, Carsin AE, 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 S, Maetzler W, MacLean MK, Megaritis D, Niessen M, Perlman O, Schwickert L, Scott K, Sharrack B, Sillen H, Singleton D, Vereijken B, Vogiatzis I, Yarnall AJ, Rochester L, Mazza C, Del Din S, Mueller A

Publication type: Article

Publication status: Published

Journal: JMIR mHealth and uHealth

Year: 2024

Volume: 8

Online publication date: 01/05/2024

Acceptance date: 27/12/2023

Date deposited: 22/05/2024

ISSN (electronic): 2291-5222

Publisher: JMIR Publications, Inc.

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 [55]. The full data set will be made available by the Mobilise-D consortium by June 2024. https://doi.org/10.5281/zenodo.7185429

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