Random eye state change detection in real-time using EEG signals

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• 作者：Abolfazl Saghafi^a ; ^{asaghafi@mail.usf.edu} ; Chris P. Tsokos^a ; ^{ctsokos@usf.edu} ; Mahdi Goudarzi^a ; ^{goudarzim@mail.usf.edu} ; Hamidreza Farhidzadeh^b ; ^{hfarhidzadeh@mail.usf.edu}
• 关键词：Eye state detection ; Classification ; Multidimensional empirical mode decomposition ; Logistic regression ; Artificial Neural Network ; Support Vector Machine
• 刊名：Expert Systems with Applications
• 出版年：2017
• 出版时间：15 April 2017
• 年：2017
• 卷：72
• 期：Complete
• 页码：42-48
• 全文大小：2286 K
• 卷排序：72

文摘

Monitoring multivariate EEG signals in real-time for possible change of the eye state. Use of data-driven methods that can handle multivariate, non-linear, and non-stationary signals. Fast eye state change detection with high accuracy. Huge improvement in comparison to published studies.