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Research on Recognition of Motor Imagination Based on Connectivity Features of Brain Functional Network
Feature extraction is essential for classifying different motor imagery (MI) tasks in a brain-computer interface. To improve classification accuracy, we propose a novel feature extraction method in which the connectivity increment rate (CIR) of the brain function network (BFN) is extracted. First, t...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895585/ https://www.ncbi.nlm.nih.gov/pubmed/33628220 http://dx.doi.org/10.1155/2021/6655430 |