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A dual alignment-based multi-source domain adaptation framework for motor imagery EEG classification
Domain adaptation, as an important branch of transfer learning, can be applied to cope with data insufficiency and high subject variabilities in motor imagery electroencephalogram (MI-EEG) based brain-computer interfaces. The existing methods generally focus on aligning data and feature distribution...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402410/ https://www.ncbi.nlm.nih.gov/pubmed/36039116 http://dx.doi.org/10.1007/s10489-022-04077-z |