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http://dx.doi.org/10.5573/ieek.2013.50.11.195

Sequential Nonlinear Recurrence Quantification Analysis of Attentional Visual Evoked Potential  

Lee, Byung-Chae (Department of Medical Information system, Yong-In Songdam College)
Yoo, Sun-Kook (Department of Medical Engineering, Yonsei University College of Medicine)
Kim, Hye-Jin (Graduate School of Biomedical Engineering, Yonsei University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.11, 2013 , pp. 195-205 More about this Journal
Abstract
The analysis of electroencephalographic signal associated with the attention is essential for the understanding of human cognition. In this paper, the characteristic differences between the attention and inattention status in the brain were inspected by nonlinear analysis. The recurrence quantification analysis was applied to the relatively small number of samples of evoked potential having time varying characteristics, where the recurrence plot (RP), the color recurrence plot (CRP), and mean and time-sequential trend parameters were extracted. The dimension and the time delay in phase transformation can be determined by the paired set of extracted parameters. It is observed from RP, CRP, and parameters that the brain dynamics in attention is more complex than that in the inattention, as well as the synchronized brain response is stable in the mean sense but locally time varying. It is feasible that the non-linear analysis method can be useful for the analysis of complex brain dynamics associated during visual attentional task.
Keywords
Nonlinear; Evoked potential;
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