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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Detalles Bibliográficos
Autores principales: Huang, Zhihua, Li, Minghong, Ma, Yuanye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189654/
https://www.ncbi.nlm.nih.gov/pubmed/30369960
http://dx.doi.org/10.1155/2018/4089021

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