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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
Francois C, Danchenko N, Williams VS, Nelson LM, Williams NJ, Yarr SR, DiBenedetti DB, Lancon C. Psychometric evaluation of the depression and family functioning scale (DFFS). Poster presented at the Second Meeting on Patient Reported Outcomes and Person Centered Care in Mental Health – Diagnosis, Prevention and Treatment in Mental Health: Effectiveness and Comparative Effectiveness; September 26, 2014. Washington, DC. [abstract] J Ment Health Policy Econ. 2014 Sep; 17(Suppl 1):S5-6.