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An Event-driven AR-process Model for EEG-based BCIs with Rapid Trial Sequences
Electroencephalography (EEG) is an effective non-invasive measurement method to infer user intent in brain-computer interface (BCI) systems for control and communication, however these systems often lack sufficient accuracy and speed due to low separability of class-conditional EEG feature distribut...
Uloženo v:
| Vydáno v: | IEEE Trans Neural Syst Rehabil Eng |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6629584/ https://ncbi.nlm.nih.gov/pubmed/30869624 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNSRE.2019.2903840 |
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