Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis

An efficient feature extraction method for two classes of electroencephalography (EEG) is demonstrated using Common Spatial Patterns (CSP) with optimal spatial filters. However, the effects of artifacts and non-stationary uncertainty are more pronounced when CSP filtering is used. Furthermore, tradi...

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Detalles Bibliográficos
Autores principales: Antony, Mary Judith, Sankaralingam, Baghavathi Priya, Mahendran, Rakesh Kumar, Gardezi, Akber Abid, Shafiq, Muhammad, Choi, Jin-Ghoo, Hamam, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573537/
https://www.ncbi.nlm.nih.gov/pubmed/36236694
http://dx.doi.org/10.3390/s22197596

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573537/
https://www.ncbi.nlm.nih.gov/pubmed/36236694
http://dx.doi.org/10.3390/s22197596

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