Increasing Robustness of Brain–Computer Interfaces Through Automatic Detection and Removal of Corrupted Input Signals

For brain–computer interfaces (BCIs) to be viable for long-term daily usage, they must be able to quickly identify and adapt to signal disruptions. Furthermore, the detection and mitigation steps need to occur automatically and without the need for user intervention while also being computationally...

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Detalles Bibliográficos
Autores principales: Vasko, Jordan L., Aume, Laura, Tamrakar, Sanjay, Colachis, Samuel C. IV, Dunlap, Collin F., Rich, Adam, Meyers, Eric C., Gabrieli, David, Friedenberg, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096265/
https://www.ncbi.nlm.nih.gov/pubmed/35573306
http://dx.doi.org/10.3389/fnins.2022.858377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9096265/
https://www.ncbi.nlm.nih.gov/pubmed/35573306
http://dx.doi.org/10.3389/fnins.2022.858377

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