Subject-based dipole selection for decoding motor imagery tasks

• Published in: Neurocomputing (Amsterdam) Vol. 402; pp. 195 - 208
• Main Authors: Li, Ming-ai, Dong, Yu-xin, Sun, Yan-jun, Yang, Jin-fu, Duan, Li-juan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 18.08.2020
• Subjects: Common spatial patterns; Continuous wavelet transform; Dipole selection; EEG source imaging; MI-tasks decoding; Dipole selection; MI-tasks decoding; EEG source imaging; Continuous wavelet transform; Common spatial patterns

•A novel subject-based dipole selection method named PRDS is proposed for decoding motor imagery tasks in the source space.•PRDS includes two steps: the preliminary selection of dipoles with the data-driven method and the refinement of dipoles based on continuous wavelet transform.•The dipoles selec...