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

INTRODUCTION: The clinical assessment of mobility, and walking specifically, is still mainly based on functional tests that lack ecological validity. Thanks to inertial measurement units (IMUs), gait analysis is shifting to unsupervised monitoring in naturalistic and unconstrained settings. However,...

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Detalles Bibliográficos
Autores principales: Romijnders, Robbin, Salis, Francesca, Hansen, Clint, Küderle, Arne, Paraschiv-Ionescu, Anisoara, Cereatti, Andrea, Alcock, Lisa, Aminian, Kamiar, Becker, Clemens, Bertuletti, Stefano, Bonci, Tecla, Brown, Philip, Buckley, Ellen, Cantu, Alma, Carsin, Anne-Elie, Caruso, Marco, Caulfield, Brian, Chiari, Lorenzo, D'Ascanio, Ilaria, Del Din, Silvia, Eskofier, Björn, Fernstad, Sara Johansson, Fröhlich, Marceli Stanislaw, Garcia Aymerich, Judith, Gazit, Eran, Hausdorff, Jeffrey M., Hiden, Hugo, Hume, Emily, Keogh, Alison, Kirk, Cameron, Kluge, Felix, Koch, Sarah, Mazzà, Claudia, Megaritis, Dimitrios, Micó-Amigo, Encarna, Müller, Arne, Palmerini, Luca, Rochester, Lynn, Schwickert, Lars, Scott, Kirsty, Sharrack, Basil, Singleton, David, Soltani, Abolfazl, Ullrich, Martin, Vereijken, Beatrix, Vogiatzis, Ioannis, Yarnall, Alison, Schmidt, Gerhard, Maetzler, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615212/
https://www.ncbi.nlm.nih.gov/pubmed/37909030
http://dx.doi.org/10.3389/fneur.2023.1247532

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615212/
https://www.ncbi.nlm.nih.gov/pubmed/37909030
http://dx.doi.org/10.3389/fneur.2023.1247532

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