Decoding accelerometry for classification and prediction of critically ill patients with severe brain injury

Our goal is to explore quantitative motor features in critically ill patients with severe brain injury (SBI). We hypothesized that computational decoding of these features would yield information on underlying neurological states and outcomes. Using wearable microsensors placed on all extremities, w...

Descripción completa

Detalles Bibliográficos
Autores principales: Bhattacharyay, Shubhayu, Rattray, John, Wang, Matthew, Dziedzic, Peter H., Calvillo, Eusebia, Kim, Han B., Joshi, Eshan, Kudela, Pawel, Etienne-Cummings, Ralph, Stevens, Robert D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654973/
https://www.ncbi.nlm.nih.gov/pubmed/34880296
http://dx.doi.org/10.1038/s41598-021-02974-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654973/
https://www.ncbi.nlm.nih.gov/pubmed/34880296
http://dx.doi.org/10.1038/s41598-021-02974-w

Ejemplares similares