Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface

In order to characterize the non-Gaussian information contained within the EEG signals, a new feature extraction method based on bispectrum is proposed and applied to the classification of right and left motor imagery for developing EEG-based brain

• Type: Journal
• Year: 2008
• Where: ISCI
• Authors: Shang-Ming Zhou, John Q. Gan, Francisco Sepulveda
• Keywords: BCI 2003 Competition, Feature Extraction Method, Graz BCI Data, ISCI 2008