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

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Eye state detection,Classification,Multidimensional empirical mode decomposition,Logistic regression,Artificial Neural Network,Support Vector Machine

论文评审过程：Received 8 October 2016, Revised 4 December 2016, Accepted 6 December 2016, Available online 7 December 2016, Version of Record 13 December 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.12.010