Cargando…
Removal of EOG Artifacts from EEG Recordings Using Stationary Subspace Analysis
An effective approach is proposed in this paper to remove ocular artifacts from the raw EEG recording. The proposed approach first conducts the blind source separation on the raw EEG recording by the stationary subspace analysis (SSA) algorithm. Unlike the classic blind source separation algorithms,...
Autores principales: | Zeng, Hong, Song, Aiguo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914441/ https://www.ncbi.nlm.nih.gov/pubmed/24550696 http://dx.doi.org/10.1155/2014/259121 |
Ejemplares similares
-
EOG Artifact Correction from EEG Recording Using Stationary Subspace Analysis and Empirical Mode Decomposition
por: Zeng, Hong, et al.
Publicado: (2013) -
A semi-simulated EEG/EOG dataset for the comparison of EOG artifact rejection techniques
por: Klados, Manousos A., et al.
Publicado: (2016) -
Circulant Singular Spectrum Analysis and Discrete Wavelet Transform for Automated Removal of EOG Artifacts from EEG Signals
por: Yedukondalu, Jammisetty, et al.
Publicado: (2023) -
Improved EOG Artifact Removal Using Wavelet Enhanced Independent Component Analysis
por: Issa, Mohamed F., et al.
Publicado: (2019) -
A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling
por: Blum, Sarah, et al.
Publicado: (2019)