Title |
Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases
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Published in |
Frontiers in Neurology, October 2023
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DOI | 10.3389/fneur.2023.1247532 |
Pubmed ID | |
Authors |
Robbin Romijnders, Francesca Salis, Clint Hansen, Arne Küderle, Anisoara Paraschiv-Ionescu, Andrea Cereatti, Lisa Alcock, Kamiar Aminian, Clemens Becker, Stefano Bertuletti, Tecla Bonci, Philip Brown, Ellen Buckley, Alma Cantu, Anne-Elie Carsin, Marco Caruso, Brian Caulfield, Lorenzo Chiari, Ilaria D'Ascanio, Silvia Del Din, Björn Eskofier, Sara Johansson Fernstad, Marceli Stanislaw Fröhlich, Judith Garcia Aymerich, Eran Gazit, Jeffrey M. Hausdorff, Hugo Hiden, Emily Hume, Alison Keogh, Cameron Kirk, Felix Kluge, Sarah Koch, Claudia Mazzà, Dimitrios Megaritis, Encarna Micó-Amigo, Arne Müller, Luca Palmerini, Lynn Rochester, Lars Schwickert, Kirsty Scott, Basil Sharrack, David Singleton, Abolfazl Soltani, Martin Ullrich, Beatrix Vereijken, Ioannis Vogiatzis, Alison Yarnall, Gerhard Schmidt, Walter Maetzler |
X Demographics
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Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 4 | 17% |
Researcher | 4 | 17% |
Student > Doctoral Student | 2 | 9% |
Student > Master | 2 | 9% |
Student > Bachelor | 1 | 4% |
Other | 1 | 4% |
Unknown | 9 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 3 | 13% |
Nursing and Health Professions | 2 | 9% |
Medicine and Dentistry | 2 | 9% |
Computer Science | 1 | 4% |
Social Sciences | 1 | 4% |
Other | 2 | 9% |
Unknown | 12 | 52% |