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

被引：23

作者：

Hashida, JC ^{[1
]}

Silva, ACD ^{[1
]}

Souto, S ^{[1
]}

Costa, EJX ^{[1
]}

机构：

[1] Univ Sao Paulo, Sao Paulo, Brazil

来源：

NEUROCOMPUTING | 2005年 / 68卷

关键词：

sensorial analysis; time-frequency; brain; flavors;

D O I：

10.1016/j.neucom.2005.04.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：251 / 257

页数：7

共 18 条

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