Cargando…
Design Considerations for Long Term Non-invasive Brain Computer Interface Training With Tetraplegic CYBATHLON Pilot
Several studies in the recent past have demonstrated how Brain Computer Interface (BCI) technology can uncover the neural mechanisms underlying various tasks and translate them into control commands. While a multitude of studies have demonstrated the theoretic potential of BCI, a point of concern is...
Autores principales: | Robinson, Neethu, Chouhan, Tushar, Mihelj, Ernest, Kratka, Paulina, Debraine, Frédéric, Wenderoth, Nicole, Guan, Cuntai, Lehner, Rea |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239283/ https://www.ncbi.nlm.nih.gov/pubmed/34211380 http://dx.doi.org/10.3389/fnhum.2021.648275 |
Ejemplares similares
-
The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
por: Perdikis, Serafeim, et al.
Publicado: (2018) -
Long-Term Mutual Training for the CYBATHLON BCI Race With a Tetraplegic Pilot: A Case Study on Inter-Session Transfer and Intra-Session Adaptation
por: Hehenberger, Lea, et al.
Publicado: (2021) -
Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training
por: Benaroch, Camille, et al.
Publicado: (2021) -
EEG-Based Brain-Computer Interface for Tetraplegics
por: Kauhanen, Laura, et al.
Publicado: (2007) -
Benchmarking Brain-Computer Interfaces Outside the Laboratory: The Cybathlon 2016
por: Novak, Domen, et al.
Publicado: (2018)