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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |