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Facing High EEG Signals Variability during Classification Using Fractal Dimension and Different Cutoff Frequencies
In the development of a brain-computer interface (BCI), some issues should be regarded in order to improve its reliability and performance. Perhaps, one of the most challenging issues is related to the high variability of the brain signals, which directly impacts the accuracy of the classification....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545768/ https://www.ncbi.nlm.nih.gov/pubmed/31236108 http://dx.doi.org/10.1155/2019/9174307 |