A machine learning approach to quantify individual gait responses to ankle exoskeletons

We currently lack a theoretical framework capable of characterizing heterogeneous responses to exoskeleton interventions. Predicting an individual’s response to an exoskeleton and understanding what data are needed to characterize responses has been a persistent challenge. In this study, we leverage...

Descripción completa

Detalles Bibliográficos
Autores principales: Ebers, Megan R., Rosenberg, Michael C., Kutz, J. Nathan, Steele, Katherine M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882260/
https://www.ncbi.nlm.nih.gov/pubmed/36711530
http://dx.doi.org/10.1101/2023.01.20.524757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882260/
https://www.ncbi.nlm.nih.gov/pubmed/36711530
http://dx.doi.org/10.1101/2023.01.20.524757

Ejemplares similares