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Parallel Computing Sparse Wavelet Feature Extraction for P300 Speller BCI
This work is intended to increase the classification accuracy of single EEG epoch, reduce the number of repeated stimuli, and improve the information transfer rate (ITR) of P300 Speller. Target EEG epochs and nontarget EEG ones are both mapped to a space by Wavelet. In this space, Fisher Criterion i...
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| Pubblicato in: | Comput Math Methods Med |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Hindawi
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6189654/ https://ncbi.nlm.nih.gov/pubmed/30369960 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/4089021 |
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