Deep active learning for interictal ictal injury continuum EEG patterns

OBJECTIVES: Seizures and seizure-like electroencephalography (EEG) patterns, collectively referred to as “ictal interictal injury continuum” (IIIC) patterns, are commonly encountered in critically ill patients. Automated detection is important for patient care and to enable research. However, traini...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:J Neurosci Methods
Main Authors: Ge, Wendong, Jing, Jin, An, Sungtae, Herlopian, Aline, Ng, Marcus, Struck, Aaron F., Appavu, Brian, Johnson, Emily L., Osman, Gamaleldin, Haider, Hiba A., Karakis, Ioannis, Kim, Jennifer A., Halford, Jonathan J., Dhakar, Monica B., Sarkis, Rani A., Swisher, Christa B., Schmitt, Sarah, Lee, Jong Woo, Tabaeizadeh, Mohammad, Rodriguez, Andres, Gaspard, Nicolas, Gilmore, Emily, Herman, Susan T., Kaplan, Peter W., Pathmanathan, Jay, Hong, Shenda, Rosenthal, Eric S., Zafar, Sahar, Sun, Jimeng, Westover, M. Brandon
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8135050/
https://ncbi.nlm.nih.gov/pubmed/33131680
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2020.108966
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados