Utilization of independent component analysis for accurate pathological ripple detection in intracranial EEG recordings recorded extra- and intra-operatively

OBJECTIVE: To develop and validate a detector that identifies ripple (80–200 Hz) events in intracranial EEG (iEEG) recordings in a referential montage and utilizes independent component analysis (ICA) to eliminate or reduce high-frequency artifact contamination. Also, investigate the correspondence...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Clin Neurophysiol
Main Authors: Shimamoto, Shoichi, Waldman, Zachary J., Orosz, Iren, Song, Inkyung, Bragin, Anatol, Fried, Itzhak, Engel, Jerome, Staba, Richard, Sharan, Ashwini, Wu, Chengyuan, Sperling, Michael R., Weiss, Shennan A.
Formato: Artigo
Idioma:Inglês
Publicado em: 2017
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5912211/
https://ncbi.nlm.nih.gov/pubmed/29113719
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.clinph.2017.08.036
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados