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Reducing calibration time in motor imagery-based BCIs by data alignment and empirical mode decomposition
One of the major reasons that limit the practical applications of a brain-computer interface (BCI) is its long calibration time. In this paper, we propose a novel approach to reducing the calibration time of motor imagery (MI)-based BCIs without sacrificing classification accuracy. The approach aims...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8824327/ https://www.ncbi.nlm.nih.gov/pubmed/35134085 http://dx.doi.org/10.1371/journal.pone.0263641 |