Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 20, 2024International Journal of Neural Systems

Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion

View Full Paper
Ask AI
Bookmark
Share

Authors

FXFangzhou XuWSWeiyou ShiCLChengyan Lv

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Xu et al. (2024) studied this question.

synapsesocial.com/papers/68e57d34b6db64358751c10ehttps://doi.org/10.1142/s0129065724500692
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Time-Frequency-Space EEG Decoding Model Based on Dense Graph Convolutional Network for Stroke2024 · 4 citations
  2. 2EEG decoding method based on multi-feature information fusion for spinal cord injury2022 · 38 citations
  3. 3MST-DGCN: A Multi-Scale Spatio-Temporal and Dynamic Graph Convolution Fusion Network for Electroencephalogram Recognition of Motor Imagery2024 · 1 citations
  4. 4Efficient Multi-View Graph Convolutional Network with Self-Attention for Multi-Class Motor Imagery Decoding2024 · 2 citations
  5. 5Integrating Electroencephalography Source Localization and Residual Convolutional Neural Network for Advanced Stroke Rehabilitation2024 · 3 citations