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A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network
High accuracy decoding of electroencephalogram (EEG) signal is still a major challenge that can hardly be solved in the design of an effective motor imagery-based brain-computer interface (BCI), especially when the signal contains various extreme artifacts and outliers arose from data loss. The conv...
Gespeichert in:
| Veröffentlicht in: | Front Neurosci |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6172343/ https://ncbi.nlm.nih.gov/pubmed/30323737 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00680 |
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