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Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification
Classification of motor imagery (MI) electroencephalogram (EEG) plays a vital role in brain-computer interface (BCI) systems. Recent research has shown that nonlinear classification algorithms perform better than their linear counterparts, but most of them cannot extract sufficient significant infor...
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| Publicat a: | Comput Intell Neurosci |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Hindawi
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6230412/ https://ncbi.nlm.nih.gov/pubmed/30510569 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/9593682 |
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