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Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases.

Lookup NU author(s): Dr Lisa AlcockORCiD, Philip Brown, Dr Alma CantuORCiD, Dr Silvia Del DinORCiD, Dr Cameron KirkORCiD, Professor Lynn RochesterORCiD, Dr Kirsty ScottORCiD

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

Publication type: Article

Publication status: Published

Journal: Frontiers in Neurology

Year: 2023

Volume: 14

Online publication date: 16/10/2023

Acceptance date: 18/09/2023

Date deposited: 19/10/2023

ISSN (electronic): 1664-2295

Publisher: Frontiers Research Foundation

URL: https://doi.org/10.3389/fneur.2023.1247532

DOI: 10.3389/fneur.2023.1247532

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