Bi-Smoothed Functional Independent Component Analysis for EEG Artifact Removal
Motivated by mapping adverse artifactual events caused by body movements in electroencephalographic (EEG) signals, we present a functional independent component analysis based on the spectral decomposition of the kurtosis operator of a smoothed principal component expansion. A discrete roughness pen...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2021-05-01
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| coleção: | Mathematics |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2227-7390/9/11/1243 |
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