Subject-Dependent Artifact Removal for Enhancing Motor Imagery Classifier Performance under Poor Skills
The Electroencephalography (EEG)-based motor imagery (MI) paradigm is one of the most studied technologies for Brain-Computer Interface (BCI) development. Still, the low Signal-to-Noise Ratio (SNR) poses a challenge when constructing EEG-based BCI systems. Moreover, the non-stationary and nonlinear...
Furkejuvvon:
| Váldodahkkit: | , , |
|---|---|
| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
MDPI AG
2022-08-01
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| Ráidu: | Sensors |
| Fáttát: | |
| Liŋkkat: | https://www.mdpi.com/1424-8220/22/15/5771 |
| Fáddágilkorat: |
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