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A comparison of univariate, vector, bilinear autoregressive, and band power features for brain–computer interfaces
Selecting suitable feature types is crucial to obtain good overall brain–computer interface performance. Popular feature types include logarithmic band power (logBP), autoregressive (AR) parameters, time-domain parameters, and wavelet-based methods. In this study, we focused on different variants of...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer-Verlag
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3208819/ https://ncbi.nlm.nih.gov/pubmed/21947797 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11517-011-0828-x |
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