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Classifying EEG for Brain-Computer Interface: Learning Optimal Filters for Dynamical System Features
Classification of multichannel EEG recordings during motor imagination has been exploited successfully for brain-computer interfaces (BCI). In this paper, we consider EEG signals as the outputs of a networked dynamical system (the cortex), and exploit synchronization features from the dynamical syst...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2266978/ https://www.ncbi.nlm.nih.gov/pubmed/18364986 http://dx.doi.org/10.1155/2007/57180 |