A comparison of feature extraction strategies using wavelet dictionaries and feature selection methods for single trial P300-based BCI.
The P300 component of event-related potentials (ERPs) is widely used in the implementation of brain computer interfaces (BCI). In this context, one of the main issues to solve is the binary classification problem that entails differentiating between electroencephalographic (EEG) signals with and wit...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 3; pp. 589 - 601 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Mar2019
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| Acceso en línea: | Ver este registro en EBSCOhost |