Identification and monitoring of brain activity based on stochastic relevance analysis of short–time EEG rhythms

BACKGROUND: The extraction of physiological rhythms from electroencephalography (EEG) data and their automated analyses are extensively studied in clinical monitoring, to find traces of interictal/ictal states of epilepsy. METHODS: Because brain wave rhythms in normal and interictal/ictal events, di...

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Detalles Bibliográficos
Autores principales: Duque-Muñoz, Leonardo, Espinosa-Oviedo, Jairo Jose, Castellanos-Dominguez, Cesar German
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4459461/
https://www.ncbi.nlm.nih.gov/pubmed/25168571
http://dx.doi.org/10.1186/1475-925X-13-123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4459461/
https://www.ncbi.nlm.nih.gov/pubmed/25168571
http://dx.doi.org/10.1186/1475-925X-13-123

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