Varying VEP Evaluation as a Prediction of Vision Fatigue Using Stimulated Brain-Computer Interface



Fig. 1
Time-varying EEG features during cognitive process. Vertical axis amplitude (μV), horizontal axis number of trials. Blue curve time-varying EEG features, black straight line linear fitting line





4 Conclusion


The time varying EEG spectral analysis is proposed as an objective approach to evaluate fatigue during cognitive process in SSVEP-based BCIs. The proposed approach can provide a real-time evaluation of the fatigue with objective and quantitative measurement. The promising result suggests the potential of objective evaluation of fatigue by dynamic measurement in EEG indices θ and α, as well as ratio indices θ/α, (θ + α)/β. The time varying EEG activity would predict the fatigue immediately, which may provide a useful online assessment of fatigue. The increase in θ, α and (θ + α)/β, as well as the decrease in θ/α are associated with the increasing fatigue level during cognitive process. In addition, this method can be used for optimal selection of visual stimuli parameters (e.g., visual stimulus frequency, duty cycle, color, etc.) to design a user-friendly BCI system, which cause less fatigue in further study.


Acknowledgments

This work was supported in part by the Macau Science and Technology Development Fund (Grant FDCT/036/2009/A) and the University of Macau Research Fund (Grants MYRG2014-00174-FST, MYRG139(Y1-L2)-FST11-WF, MYRG079(Y1-L2)-FST12-VMI and MYRG069(Y1-L2)-FST13-WF).

Sep 24, 2016 | Posted by in NEUROLOGY | Comments Off on Varying VEP Evaluation as a Prediction of Vision Fatigue Using Stimulated Brain-Computer Interface

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