Cargando…
Non-motor tasks improve adaptive brain-computer interface performance in users with severe motor impairment
Individuals with severe motor impairment can use event-related desynchronization (ERD) based BCIs as assistive technology. Auto-calibrating and adaptive ERD-based BCIs that users control with motor imagery tasks (“SMR-AdBCI”) have proven effective for healthy users. We aim to find an improved config...
Autores principales: | Faller, Josef, Scherer, Reinhold, Friedrich, Elisabeth V. C., Costa, Ursula, Opisso, Eloy, Medina, Josep, Müller-Putz, Gernot R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4196541/ https://www.ncbi.nlm.nih.gov/pubmed/25368546 http://dx.doi.org/10.3389/fnins.2014.00320 |
Ejemplares similares
-
A Co-Adaptive Brain-Computer Interface for End Users with Severe Motor Impairment
por: Faller, Josef, et al.
Publicado: (2014) -
Individually Adapted Imagery Improves Brain-Computer Interface Performance in End-Users with Disability
por: Scherer, Reinhold, et al.
Publicado: (2015) -
Directional Decoding From EEG in a Center-Out Motor Imagery Task With Visual and Vibrotactile Guidance
por: Hehenberger, Lea, et al.
Publicado: (2021) -
Evaluation of Different EEG Acquisition Systems Concerning Their Suitability for Building a Brain–Computer Interface: Case Studies
por: Pinegger, Andreas, et al.
Publicado: (2016) -
Motor Cortex Plasticity during Unilateral Finger Movement with Mirror Visual Feedback
por: Kumru, Hatice, et al.
Publicado: (2016)