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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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| Publicado no: | Front Robot AI |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805943/ https://ncbi.nlm.nih.gov/pubmed/33501008 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2018.00130 |
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