EEG pattern discrimination between salty and sweet taste using adaptive Gabor transform

 This article uses adaptive Gabor transform (AGR) for drawing feature information from human electroencephalogram (EEG) signals aiming at the discrimination among mental tasks during gustatory stimulation. In this study, single-channel EEG records from eight healthy humans were assessed during the application of sweet, salty and distilled water tastes. Muscular, ocular and skin potential activities were controlled. Overall results show that AGR coefficient representations are able to reveal a significant EEG discrimination among sweet, salty and water tastes.