A Motor Imagery Signals Classification Method via the Difference of EEG Signals Between Left and Right Hemispheric Electrodes

Brain-computer interface (BCI) based on motor imagery (MI) can help patients with limb movement disorders in their normal life. In order to develop an efficient BCI system, it is necessary to decode high-accuracy motion intention by electroencephalogram (EEG) with low signal-to-noise ratio. In this...

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Detalles Bibliográficos
Autores principales: Lun, Xiangmin, Liu, Jianwei, Zhang, Yifei, Hao, Ziqian, Hou, Yimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124859/
https://www.ncbi.nlm.nih.gov/pubmed/35615273
http://dx.doi.org/10.3389/fnins.2022.865594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124859/
https://www.ncbi.nlm.nih.gov/pubmed/35615273
http://dx.doi.org/10.3389/fnins.2022.865594

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