Cargando…
Multisubject Learning for Common Spatial Patterns in Motor-Imagery BCI
Motor-imagery-based brain-computer interfaces (BCIs) commonly use the common spatial pattern filter (CSP) as preprocessing step before feature extraction and classification. The CSP method is a supervised algorithm and therefore needs subject-specific training data for calibration, which is very tim...
Autores principales: | Devlaminck, Dieter, Wyns, Bart, Grosse-Wentrup, Moritz, Otte, Georges, Santens, Patrick |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3191786/ https://www.ncbi.nlm.nih.gov/pubmed/22007194 http://dx.doi.org/10.1155/2011/217987 |
Ejemplares similares
-
Variance characteristic preserving common spatial pattern for motor imagery BCI
por: Liang, Wei, et al.
Publicado: (2023) -
Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface
por: Luo, Jing, et al.
Publicado: (2023) -
Parallel Spatial–Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI
por: Liu, Xiuling, et al.
Publicado: (2020) -
Motor Imagery Under Distraction— An Open Access BCI Dataset
por: Brandl, Stephanie, et al.
Publicado: (2020) -
Effect of biased feedback on motor imagery learning in BCI-teleoperation system
por: Alimardani, Maryam, et al.
Publicado: (2014)