High Classification Accuracy of a Motor Imagery Based Brain-Computer Interface for Stroke Rehabilitation Training

Motor imagery (MI) based brain-computer interfaces (BCI) extract commands in real-time and can be used to control a cursor, a robot or functional electrical stimulation (FES) devices. The control of FES devices is especially interesting for stroke rehabilitation, when a patient can use motor imagery...

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Detalles Bibliográficos
Autores principales: Irimia, Danut C., Ortner, Rupert, Poboroniuc, Marian S., Ignat, Bogdan E., Guger, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805943/
https://www.ncbi.nlm.nih.gov/pubmed/33501008
http://dx.doi.org/10.3389/frobt.2018.00130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805943/
https://www.ncbi.nlm.nih.gov/pubmed/33501008
http://dx.doi.org/10.3389/frobt.2018.00130

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