EEG-Channel-Temporal-Spectral-Attention Correlation for Motor Imagery EEG Classification

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 31; p. 1
• Main Authors: Hsu, Wei-Yen, Cheng, Ya-Wen
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Brain; Brain-computer interface (BCI); Brain-Computer Interfaces; Channels; Classification; Computer applications; Convolution; Correlation coefficient; Correlation coefficients; Data mining; Domains; EEG; EEG-channel attention; Electroencephalography; Electroencephalography - methods; Feature extraction; Human-computer interface; Humans; Image classification; Imagination; Implants; Mental task performance; Modules; Motor-imagery Electroencephalography (MI EEG); Task analysis; Temporal variations; Temporal-spectral attention; Time-frequency analysis; Wavelet transform; Weighting

In brain-computer interface (BCI) work, how correctly identifying various features and their corresponding actions from complex Electroencephalography (EEG) signals is a challenging technology. However, most current methods do not consider EEG feature information in spatial, temporal and spectral do...