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Real-time feature extraction of P300 component using adaptive nonlinear principal component analysis
BACKGROUND: The electroencephalography (EEG) signals are known to involve the firings of neurons in the brain. The P300 wave is a high potential caused by an event-related stimulus. The detection of P300s included in the measured EEG signals is widely investigated. The difficulties in detecting them...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3749271/ https://ncbi.nlm.nih.gov/pubmed/21939560 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1475-925X-10-83 |
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