Spatio-Temporal Graph Neural Network Based on Nonlinear Time–Frequency Features for Mu-ERD Classification in Multi-Session EEG Motor Imagery
Mu rhythm event-related desynchronization (ERD) is a key indicator of motor imagery activity based on EEG signals. However, accurate classification of ERD remains challenging due to the nonlinear nature of EEG signals and inter-session variability. This study proposes a motor imagery classification...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)
2026-06-01
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| Series: | Journal of Applied Engineering and Technological Science |
| Assuntos: | |
| Acceso en liña: | https://journal.yrpipku.com/index.php/jaets/article/view/8679 |
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