A Single-Trial P300 Detector Based on Symbolized EEG and Autoencoded-(1D)CNN to Improve ITR Performance in BCIs

In this paper, we propose a breakthrough single-trial P300 detector that maximizes the information translate rate (ITR) of the brain–computer interface (BCI), keeping high recognition accuracy performance. The architecture, designed to improve the portability of the algorithm, demonstrated full impl...

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Detalles Bibliográficos
Autores principales: De Venuto, Daniela, Mezzina, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226883/
https://www.ncbi.nlm.nih.gov/pubmed/34201381
http://dx.doi.org/10.3390/s21123961

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226883/
https://www.ncbi.nlm.nih.gov/pubmed/34201381
http://dx.doi.org/10.3390/s21123961

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