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Evolutionary optimization of classifiers and features for single-trial EEG Discrimination
BACKGROUND: State-of-the-art signal processing methods are known to detect information in single-trial event-related EEG data, a crucial aspect in development of real-time applications such as brain computer interfaces. This paper investigates one such novel approach, evaluating how individual class...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2041953/ https://www.ncbi.nlm.nih.gov/pubmed/17716370 http://dx.doi.org/10.1186/1475-925X-6-32 |