A shallow mirror transformer for subject-independent motor imagery BCI

• Published in: Computers in biology and medicine Vol. 164; p. 107254
• Main Authors: Luo, Jing, Wang, Yaojie, Xia, Shuxiang, Lu, Na, Ren, Xiaoyong, Shi, Zhenghao, Hei, Xinhong
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.09.2023; Elsevier Limited
• Subjects: Classification; Datasets; EEG; Electroencephalography; Image classification; Internal Medicine; Machine learning; Mental task performance; Motor task performance; Movement disorders; Other; Receptive field; Rehabilitation; Segments; Transformers; Brain–computer interfaces (BCI); Motor imagery (MI); Multihead self-attention; Subject-independent BCI

Motor imagery BCI plays an increasingly important role in motor disorders rehabilitation. However, the position and duration of the discriminative segment in an EEG trial vary from subject to subject and even trial to trial, and this leads to poor performance of subject-independent motor imagery cla...