Cargando…
ICA-Based Imagined Conceptual Words Classification on EEG Signals
Independent component analysis (ICA) has been used for detecting and removing the eye artifacts conventionally. However, in this research, it was used not only for detecting the eye artifacts, but also for detecting the brain-produced signals of two conceptual danger and information category words....
Autores principales: | Imani, Ehsan, Pourmohammad, Ali, Bagheri, Mahsa, Mobasheri, Vida |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551297/ https://www.ncbi.nlm.nih.gov/pubmed/28840114 |
Ejemplares similares
-
EEG-Based Multiword Imagined Speech Classification for Persian Words
por: Asghari Bejestani, M. R., et al.
Publicado: (2022) -
Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals
por: Winkler, Irene, et al.
Publicado: (2011) -
Improving classification and reconstruction of imagined images from EEG signals
por: Shimizu, Hirokatsu, et al.
Publicado: (2022) -
Automatic classification of ICA components from infant EEG using MARA
por: Marriott Haresign, I., et al.
Publicado: (2021) -
Imagined Speech Classification Using EEG and Deep Learning
por: Abdulghani, Mokhles M., et al.
Publicado: (2023)