Classification of electroencephalograph signals using time-frequency decomposition and linear discriminant analysis (Erratum)

Comparison of the EEG Signal Classifiers LDA, NBC and GNBC Based on Time-Frequency Features

“…EEG signals are used to study the activities of the brain such in pathology, as detection of epileptic seizure from other types of signal such as Alzheimer's disease (AD) and in Brain-Computer Interface [1][2][3][4][5][6][7][8]. The detection of neurological disease by visual scanning of a patient's EEG data is a time-consuming process.…”