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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Autors principals:	Firman Aziz, Jeffry Jeffry, Syahrul Usman, Rahmat Fuadi Syam, Muhammad Nur Arafah, Nurul Fathanah Mustamin
Format:	Artigo
Idioma:	Inglês
Publicat:	Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 2026-06-01
Col·lecció:	Journal of Applied Engineering and Technological Science
Matèries:	Classification EEG Motor Imagery ERD ST-GNN
Accés en línia:	https://journal.yrpipku.com/index.php/jaets/article/view/8679
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