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Discriminate the Brain Responses of Multiple Colors Based on Regular/Irregular SSVEP Paradigms

Mustafa Aljshamee, Shahab Nadir, Abbas Malekpour, and Peter Luksch
Computer Science Department, Rostock University, Germany
Abstract—Brain-Computer Interface (BCI) system authorizes to controlling and communicates individual peoples with neuromuscular destruction; utilized the brain signals whenever intend to visual stimuli panel. A multi-color stimuli based on Steady-state evoked potential (SSVEP) exiting a pragmatic continuous brain responses. In this experimental study involve the ability of visual stimuli based SSVEP to extract features of human-brain. Distinguish between three-color and different patterns respects to Regular/Irregular paradigms. Utilize Analysis of Variance (ANOVA) to extract the features of each stimulus in agreement with phases and amplitude. The effort of ANOVA is classify the responses effect in each pattern and three color as primary procedure, which exhibit a capability of brain activity based SSVEP paradigms. Outcome results indicate dynamics brainwave (BW) activities, which demonstrate a distinction differences between colors which are effects of brain activity with a significant distinguishable between each others.

Index Terms—Brain-Computer Interface (BCI), Steady-state Evoked Potential (SSVEP), Fast-fourier Transform (FFT), Analysis of Variance (ANOVA), Electroencephalography (EEG)

Cite: Mustafa Aljshamee, Shahab Nadir, Abbas Malekpour, and Peter Luksch, "Discriminate the Brain Responses of Multiple Colors Based on Regular/Irregular SSVEP Paradigms," Journal of Medical and Bioengineering, Vol. 5, No. 2, pp. 89-92, April 2016. Doi: 10.18178/jomb.5.2.89-92
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