A Subject-Specific Time Window Selection Method for Motor Imagery BCI

• Published in: IEEE International Conference on Consumer Electronics-China (Online) pp. 183 - 184
• Main Authors: Zhang, Yibing, Zhao, Wenshan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.07.2024
• Subjects: Accuracy; Brain-computer interface; Brain-computer interfaces; Electroencephalography; Image segmentation; motor imagery; Motors; time window selection; Time-frequency analysis; time-frequency image; wavelet transform; Wavelet transforms

Brain-computer interface based on motor imagery (MI) electroencephalogram is a promising technology for the future. However, the time latency during the MI period exhibits variability among the trials of different subjects, which can significantly affect the segmentation of each subject's trial...