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Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection
BACKGROUND: Brain-computer interfacing (BCI) applications based on the classification of electroencephalographic (EEG) signals require solving high-dimensional pattern classification problems with such a relatively small number of training patterns that curse of dimensionality problems usually arise...
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| I publikationen: | Biomed Eng Online |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
BioMed Central
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4959369/ https://ncbi.nlm.nih.gov/pubmed/27454531 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12938-016-0178-x |
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