Cargando…
A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features
Electroencephalography (EEG) signals may provide abundant information reflecting the developmental changes in brain status. It usually takes a long time to finally judge whether a brain is dead, so an effective pre-test of brain states method is needed. In this paper, we present a hybrid processing...
Autores principales: | Zhu, Li, Cui, Gaochao, Cao, Jianting, Cichocki, Andrzej, Zhang, Jianhai, Zhou, Changle |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470643/ https://www.ncbi.nlm.nih.gov/pubmed/30889817 http://dx.doi.org/10.3390/s19061342 |
Ejemplares similares
-
Attention allocation on mobile app interfaces when human interacts with them
por: Zhu, Li, et al.
Publicado: (2021) -
Analyzing EEG of Quasi-Brain-Death Based on Dynamic Sample Entropy Measures
por: Ni, Li, et al.
Publicado: (2013) -
EEG dynamical correlates of focal and diffuse causes of coma
por: Kafashan, MohammadMehdi, et al.
Publicado: (2017) -
Continuous EEG monitoring in Kenyan children with non-traumatic coma
por: Gwer, Samson, et al.
Publicado: (2012) -
Predictive value of EEG-awakening for behavioral awakening from coma
por: Kang, Xiao-gang, et al.
Publicado: (2015)