Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements

OBJECTIVE: One of the greatest challenges in clinical trial design is dealing with the subjectivity and variability introduced by human raters when measuring clinical end-points. We hypothesized that robotic measures that capture the kinematics of human movements collected longitudinally in patients...

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Detalles Bibliográficos
Autores principales: Agrafiotis, Dimitris K., Yang, Eric, Littman, Gary S., Byttebier, Geert, Dipietro, Laura, DiBernardo, Allitia, Chavez, Juan C., Rykman, Avrielle, McArthur, Kate, Hajjar, Karim, Lees, Kennedy R., Volpe, Bruce T., Krams, Michael, Krebs, Hermano I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845999/
https://www.ncbi.nlm.nih.gov/pubmed/33513170
http://dx.doi.org/10.1371/journal.pone.0245874

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845999/
https://www.ncbi.nlm.nih.gov/pubmed/33513170
http://dx.doi.org/10.1371/journal.pone.0245874

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