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Displaying 1 through 4 of 4 publications.
Romijnders R, Salis F, Hansen C, Kuderle A, Paraschiv-Ionescu A, Cereatti A, Alcock L, Aminian K, Becker C, Bertuletti S, Bonci T, Brown P, Buckley E, Cantu A, Carsin AE, Caruso M, Caulfield B, Chiari L, D'Ascanio I, Del Din S, Eskofier B, Fernstad SJ, Frohlich MS, Garcia Aymerich J, Gazit E, Hausdorff JM, Hiden H, Hume E, Keogh A, Kirk C, Kluge F, Koch S, Mazza C, Megaritis D, Mico-Amigo E, Muller 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. Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. Front Nuerol. 2023 Oct 16;14:1247532. doi: 10.3389/fneur.2023.1247532
Bano X, Bergada P, Bonet-Sola D, Egea A, Foraster M, Freixes M, Ginovart-Panisello GJ, Mallol R, Martin X, Martinez A, Martinez-Suquia C, Orga F, Sevillano X, Alsina-Pages RM. Sons al Balcó, a citizen science approach to map the soundscape of catalonia. Poster presented at the 8th International Electronic Conference on Sensors and Applications; November 1, 2021. Online. [abstract] Engineering proceedings. 2021 Nov 1; 10(1):54. doi: 10.3390/ecsa-8-11619