An EEG Feature Extraction Algorithm Based on Adaptive Time-frequency Motor Imagery

• Published in: 2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA) pp. 1016 - 1021
• Main Authors: Wu, Yan, Mao, ZhiDa, Tang, LiMin, Li, Qi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 20.05.2022
• Subjects: adaptive; brain-computer interface; Brain-computer interfaces; Classification algorithms; common spatial pattern; Data models; Electroencephalography; Feature extraction; motor imagery (MI); Robustness; Time-frequency analysis

To solve the deficiency of traditional common spatial pattern feature extraction algorithm due to the changes of neurophysiology in subjects with the variation of time and frequency domain, a self-adaptive time-frequency domain common spatial pattern feature extraction algorithm is presented. The al...