Coherence based graph convolution network for motor imagery-induced EEG after spinal cord injury

Coherence based graph convolution network for motor imagery-induced EEG after spinal cord injury

BackgroundSpinal cord injury (SCI) may lead to impaired motor function, autonomic nervous system dysfunction, and other dysfunctions. Brain-computer Interface (BCI) system based on motor imagery (MI) can provide more scientific and effective treatment solutions for SCI patients.MethodsAccording to t...

Full description

Bibliographic Details
Main Authors: Han Li, Ming Liu, Xin Yu, JianQun Zhu, Chongfeng Wang, Xinyi Chen, Chao Feng, Jiancai Leng, Yang Zhang, Fangzhou Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Neuroscience
Subjects:
electroencephalogram
motor imagery
brain-computer interface
coherence-based graph convolutional network
spinal cord injury
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.1097660/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.1097660/full

Similar Items