Decoding multi-class motor imagery from unilateral limbs using EEG signals

• Main Authors: Rong, Fenqi, Yang, Banghua, Guan, Cuntai
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; EEG; Motor direction
• Online Access: https://hdl.handle.net/10356/181910
• Institution: Nanyang Technological University

The EEG is a widely utilized neural signal source, particularly in motor imagery-based brain-computer interface (MI-BCI), offering distinct advantages in applications like stroke rehabilitation. Current research predominantly concentrates on the bilateral limbs paradigm and decoding, but the use sce...