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...

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Detalles Bibliográficos
Autores principales: Luo, Zhizeng, Jin, Ronghang, Shi, Hongfei, Lu, Xianju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
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

Internet

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

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