Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases von Romijnders, R, Salis, F, Hansen, C, Küderle, A, Paraschiv-Ionescu, A, Cereatti, A, Alcock, L, Aminian, K, Becker, C, Bertuletti, S, Bonci, T, Brown, P, Buckley, E, Cantu, A, Carsin, A.-E, Caruso, M, Caulfield, B, Chiari, L, D'Ascanio, I, Del Din, S, Eskofier, B, Fernstad, S.J, Fröhlich, M.S, Garcia Aymerich, J, Gazit, E, Hausdorff, J.M, Hiden, H, Hume, E, Keogh, A, Kirk, C, Kluge, F, Koch, S, Mazzà, 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

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