Cargando…
Asynchronous Control of P300-Based Brain–Computer Interfaces Using Sample Entropy
Brain–computer interfaces (BCI) have traditionally worked using synchronous paradigms. In recent years, much effort has been put into reaching asynchronous management, providing users with the ability to decide when a command should be selected. However, to the best of our knowledge, entropy metrics...
Autores principales: | Martínez-Cagigal, Víctor, Santamaría-Vázquez, Eduardo, Hornero, Roberto |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514711/ https://www.ncbi.nlm.nih.gov/pubmed/33266945 http://dx.doi.org/10.3390/e21030230 |
Ejemplares similares
-
Correction: Martínez-Cagigal, V.; Santamaría-Vázquez, E.; Hornero, R. Asynchronous Control of P300-Based Brain–Computer Interfaces Using Sample Entropy. Entropy 2019, 21, 230
por: Martínez-Cagigal, Víctor, et al.
Publicado: (2020) -
Combining brain-computer interfaces and multiplayer video games: an application based on c-VEPs
por: Moreno-Calderón, Selene, et al.
Publicado: (2023) -
BCI-Utility Metric for Asynchronous P300 Brain-Computer Interface
Systems
por: Ma, Guoxuan, et al.
Publicado: (2023) -
Neurofeedback Training Based on Motor Imagery Strategies Increases EEG Complexity in Elderly Population
por: Marcos-Martínez, Diego, et al.
Publicado: (2021) -
Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience
por: Fernández-Rodríguez, Álvaro, et al.
Publicado: (2023)