Embedding Dimension Selection for Adaptive Singular Spectrum Analysis of EEG Signal

The recorded electroencephalography (EEG) signal is often contaminated with different kinds of artifacts and noise. Singular spectrum analysis (SSA) is a powerful tool for extracting the brain rhythm from a noisy EEG signal. By analyzing the frequency characteristics of the reconstructed component (...

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Detalles Bibliográficos
Autores principales: Xu, Shanzhi, Hu, Hai, Ji, Linhong, Wang, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877194/
https://www.ncbi.nlm.nih.gov/pubmed/29495415
http://dx.doi.org/10.3390/s18030697

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5877194/
https://www.ncbi.nlm.nih.gov/pubmed/29495415
http://dx.doi.org/10.3390/s18030697

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