An adaptive singular spectrum analysis method for extracting brain rhythms of electroencephalography

Artifacts removal and rhythms extraction from electroencephalography (EEG) signals are important for portable and wearable EEG recording devices. Incorporating a novel grouping rule, we proposed an adaptive singular spectrum analysis (SSA) method for artifacts removal and rhythms extraction. Based o...

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Detalles Bibliográficos
Autores principales: Hu, Hai, Guo, Shengxin, Liu, Ran, Wang, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Bioengineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493032/
https://www.ncbi.nlm.nih.gov/pubmed/28674650
http://dx.doi.org/10.7717/peerj.3474

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5493032/
https://www.ncbi.nlm.nih.gov/pubmed/28674650
http://dx.doi.org/10.7717/peerj.3474

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