Motor Imagery EEG Classification Based on Riemannian Sparse Optimization and Dempster-Shafer Fusion of Multi-Time-Frequency Patterns

• Egile Nagusiak: Jing Jin (Egilea), Tingnan Qu (Egilea), Ren Xu (Egilea), Xingyu Wang (Egilea), Andrzej Cichocki (Egilea)
• Formatua: Liburua
• Argitaratua: IEEE, 2023-01-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Motor imagery-based brain-computer interfaces (MI-BCIs) features are generally extracted from a wide fixed frequency band and time window of EEG signal. The performance suffers from individual differences in corresponding time to MI tasks. In order to solve the problem, in this study, we propose a n...