Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium.
Micó-Amigo ME, Bonci T, Paraschiv-Ionescu A, Ullrich M, Kirk C, Soltani A, Küderle A, Gazit E, Salis F, Alcock L, Aminian K, Becker C, Bertuletti S, Brown P, Buckley E, Cantu A, Carsin AE, Caruso M, Caulfield B, Cereatti A, Chiari L, D'Ascanio I, Eskofier B, Fernstad S, Froehlich M, Garcia-Aymerich J, Hansen C, Hausdorff JM, Hiden H, Hume E, Keogh A, Kluge F, Koch S, Maetzler W, Megaritis D, Mueller A, Niessen M, Palmerini L, Schwickert L, Scott K, Sharrack B, Sillén H, Singleton D, Vereijken B, Vogiatzis I, Yarnall AJ, Rochester L, Mazzà C, Del Din S; Mobilise-D consortium.
Micó-Amigo ME, et al.
J Neuroeng Rehabil. 2023 Jun 14;20(1):78. doi: 10.1186/s12984-023-01198-5.
J Neuroeng Rehabil. 2023.
PMID: 37316858
Free PMC article.
We assessed and validated three algorithms for gait sequence detection, four for ICD, three for CAD and four for SL by concurrently comparing their performances (e.g., accuracy, specificity, sensitivity, absolute and relative errors). ...Our findings showed that the choice …
We assessed and validated three algorithms for gait sequence detection, four for ICD, three for CAD and four for SL by concurrently comparin …
