Cargando…
Steady-State Somatosensory Evoked Potential for Brain-Computer Interface—Present and Future
Brain-computer interface (BCI) performance has achieved continued improvement over recent decades, and sensorimotor rhythm-based BCIs that use motor function have been popular subjects of investigation. However, it remains problematic to introduce them to the public market because of their low relia...
Autores principales: | Ahn, Sangtae, Kim, Kiwoong, Jun, Sung Chan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4712271/ https://www.ncbi.nlm.nih.gov/pubmed/26834611 http://dx.doi.org/10.3389/fnhum.2015.00716 |
Ejemplares similares
-
The Role of Transient Target Stimuli in a Steady-State Somatosensory Evoked Potential-Based Brain–Computer Interface Setup
por: Pokorny, Christoph, et al.
Publicado: (2016) -
Frequency set selection for multi-frequency steady-state visual evoked potential-based brain-computer interfaces
por: Mu, Jing, et al.
Publicado: (2022) -
Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions
por: Ahn, Sangtae, et al.
Publicado: (2017) -
Enhanced Plasticity of Human Evoked Potentials by Visual Noise During the Intervention of Steady-State Stimulation Based Brain-Computer Interface
por: Xie, Jun, et al.
Publicado: (2018) -
Individual Optimal Attentional Strategy in Motor Learning Tasks Characterized by Steady-State Somatosensory and Visual Evoked Potentials
por: Sakurada, Takeshi, et al.
Publicado: (2022)