A Matrix Determinant Feature Extraction Approach for Decoding Motor and Mental Imagery EEG in Subject-Specific Tasks

• Published in: IEEE transactions on cognitive and developmental systems Vol. 14; no. 2; pp. 375 - 387
• Main Authors: Sadiq, Muhammad Tariq, Yu, Xiaojun, Yuan, Zhaohui, Aziz, Muhammad Zulkifal, Siuly, Siuly, Ding, Weiping
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.06.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Biomarkers; Biomedical imaging; Brain–computer interface (BCI); Classification; Datasets; Electroencephalography; electroencephalography (EEG); Feature extraction; Graphical user interface; Graphical user interfaces; Machine learning; matrix determinant; mental imagery; motor imagery (MI); multiscale principal component analysis (MSPCA); Neural networks; Physicians; Principal component analysis; Principal components analysis; Real-time systems; Task analysis

This study introduces a novel matrix determinant feature extraction approach for efficient classification of motor and mental imagery activities from electroencephalography (EEG) signals. First, the multiscale principal component analysis was utilized to obtain clean EEG signals. Second, denoised da...